diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md index a9b6186d77..33f5a35311 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md @@ -6,7 +6,7 @@ page_last_update: 14 de enero de 2022 description: Conectar Teradata Vantage a Power BI Desktop. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, microsoft power bi, power bi] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Crear visualizaciones en Power BI mediante Vantage @@ -46,7 +46,7 @@ Necesitará las siguientes cuentas y sistema. * Una instancia de Teradata Vantage con un usuario y contraseña. El usuario debe tener permiso para los datos que Power BI Desktop puede usar. Se debe poder acceder a Vantage desde Power BI Desktop. - + * El [Proveedor de datos .NET para Teradata](https://downloads.teradata.com/download/connectivity/net-data-provider-for-teradata). diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md index 040d77014d..2289218870 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md @@ -7,7 +7,7 @@ description: Tutorial para implementar y supervisar un modelo PMML en Vantage me keywords: [modelops, byom, python, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # ModelOps: importar e implementar su primer modelo BYOM @@ -33,7 +33,7 @@ Proporcionamos un cuaderno asociado y datos de muestra que puede importar a su e - + ## Conceptos clave relevantes inicialmente diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md index 392e609a53..bc8a80215a 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md @@ -6,7 +6,7 @@ page_last_update: 29 de mayo de 2022 description: Tutorial para implementar y supervisar un modelo Python en Vantage usando ModelOps y el repositorio Git keywords: [modelops, python, git, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import ModelOpsBasic from '../_partials/modelops-basic.mdx' # ModelOps: importar e implemente su primer modelo GIT @@ -21,7 +21,7 @@ Este es un tutorial para personas no familiarizadas con ClearScape Analytics Mod * Capacidad para ejecutar Jupyter Notebooks - + Archivos necesarios diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md index 1b00cfcf1f..793b767fc3 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md @@ -6,7 +6,7 @@ page_last_update: 19 de marzo de 2024 description: 'Tutorial para Model Factory Solution: ejecución de flujos de trabajo de Airflow con ClearScape Analytics ModelOps' keywords: [modelfactory, modelops, byom, python, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Ejecute flujos de trabajo de Airflow con ModelOps - Model Factory Solution Accelerator @@ -31,7 +31,7 @@ Para ejecutar comandos de shell, puede instalar la extensión de VS Code **"Remo - + ## Configuración de Visual Studio Code e instalación de Airflow en docker-compose diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md index 5c72d6701e..06ae8c4657 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md @@ -6,7 +6,7 @@ page_last_update: 28 de junio de 2022 description: Integrar las extensiones de Teradata Jupyter con Google Vertex AI keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalquimia] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import JupyterClearscapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'; # Integrar las extensiones de Teradata Jupyter con Google Vertex AI @@ -22,7 +22,7 @@ El banco de trabajo Vertex AI admite dos tipos de cuadernos: cuadernos administr ## Prerrequisitos * Acceso a una instancia de Teradata Vantage - + * Cuenta de Google Cloud con Vertex AI habilitado * Almacenamiento en Google Cloud para almacenar scripts de inicio y el paquete de extensiones de Teradata Jupyter diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md index 5f900fce43..91100343f4 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md @@ -7,7 +7,7 @@ description: Integrar las extensiones de Teradata Jupyter con una instancia de c keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalquimia] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import JupyterClearScapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'; # Integrar las extensiones de Teradata Jupyter con una instancia de cuaderno de SageMaker @@ -22,7 +22,7 @@ Las extensiones de Teradata Jupyter proporcionan el kernel Teradata SQL y varias * Acceso a una instancia de Teradata Vantage - + * Cuenta de AWS * Depósito de AWS S3 para almacenar scripts de configuración del ciclo de vida y paquete de extensiones de Teradata Jupyter diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md index aea2e7ddab..7f23dd184c 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md @@ -20,10 +20,10 @@ KNIME Analytics Platform es un banco de trabajo de ciencia de datos. Admite aná ## Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage, versión 17.10 o superior. - + * KNIME instalado localmente. Consulte [Instrucciones de instalación de KNIME](https://www.knime.com/installation) para obtener más detalles. ## Procedimiento de integración diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md index f3eb994c2a..e54dd3c5f7 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md @@ -10,7 +10,7 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud --- import ClearscapeJyupiter from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx' -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Utilizar Vantage desde un Jupyter Notebook @@ -20,7 +20,7 @@ import CommunityLink from '../_partials/community_link.mdx' ## Información general En este tutorial, seguiremos los pasos para conectarnos a Teradata Vantage desde un Jupyter Notebook. - + ## Opciones diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md index 772593024b..68031ab382 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md @@ -9,7 +9,7 @@ description: Implementar extensiones de Teradata Jupyter en clústeres JupyterHu keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, java applications, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalquimia] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Implementar extensiones de Teradata Jupyter en JupyterHub @@ -23,7 +23,7 @@ Para los clientes que tienen sus propios clústeres de JupyterHub, existen dos o Esta página contiene instrucciones detalladas sobre las dos opciones. Las instrucciones se basan en el supuesto de que la implementación de JupyterHub del cliente se basa en [Zero to JupyterHub with Kubernetes](https://zero-to-jupyterhub.readthedocs.io/en/latest/index.html). - + ## Utilizar la imagen de Teradata Jupyter Docker. diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md index 8f7f8b25fd..0ad412be6c 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md @@ -9,7 +9,7 @@ description: 'Entrenar un modelo de ML sin salir de Teradata Vantage: utilice la keywords: [data warehouses, database analytic functions, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Entrenar modelos de ML en Vantage usando funciones analíticas de bases de datos @@ -21,7 +21,7 @@ Hay situaciones en las que desea validar rápidamente una idea de modelo de apre ## Prerrequisitos Necesita acceso a una instancia de Teradata Vantage. - + ## Cargar datos de muestra diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md index 7801520f4f..9e37e6aa6b 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md @@ -8,7 +8,7 @@ description: Realizar análisis de series temporales mediante Teradata Vantage keywords: [data warehouses, analytics, teradata, vantage, time series, business intelligence, enterprise analytics, time series, time series analysis] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Realizar análisis de series temporales mediante Teradata Vantage @@ -21,7 +21,7 @@ Las series temporales son series de puntos de datos indexados en orden temporal. Necesita acceso a una instancia de Teradata Vantage. Las funcionalidades de serie temporal y NOS están habilitadas en todas las ediciones de Vantage, desde Vantage Express hasta Developer, DYI y Vantage as a Service a partir de la versión 17.10. - + ## Importar conjuntos de datos desde AWS S3 mediante Vantage NOS diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md index 5c7fc09638..9916210b96 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md @@ -29,10 +29,10 @@ Amazon SageMaker consume datos de prueba y entrenamiento de un depósito de Amaz ### Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * Permiso de IAM para acceder al depósito de Amazon S3 y utilizar el servicio Amazon SageMaker. * Un depósito de Amazon S3 para almacenar datos de entrenamiento. diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md index 629600cbe9..26abec3d82 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md @@ -9,7 +9,7 @@ description: 'Ejecutar aplicaciones en Teradata: utilice Script Table Operator p keywords: [data warehouses, compute storage separation, teradata, vantage, script table operator, cloud data platform, object storage, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Ejecutar scripts en Vantage @@ -22,7 +22,7 @@ A veces, es necesario aplicar una lógica compleja a los datos que no se puede e Necesita acceso a una instancia de Teradata Vantage. - + ## Hello World diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md index ff47a6650d..7b1459356b 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md @@ -19,10 +19,10 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud ## Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * Suscripción a Azure o crear una [cuenta gratuita](https://azure.microsoft.com/free) * [Espacio de trabajo de Azure ML Studio](https://docs.microsoft.com/en-us/azure/machine-learning/studio/create-workspace) * (Opcional) Descargar una [base de datos de AdventureWorks DW 2016](https://docs.microsoft.com/en-us/sql/samples/adventureworks-install-configure?view=sql-server-2017) (es decir, la sección _'Entrenar el modelo'_) diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md index 76ed703499..91fdee0de5 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md @@ -15,10 +15,10 @@ Este tutorial demuestra cómo crear una conexión a Teradata Vantage con DBeaver ## Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * DBeaver instalado. Consulte la [Comunidad de DBeaver](https://dbeaver.io/download) o [DBeaver PRO](https://dbeaver.com/download) para ver las opciones de instalación. ## Agregue una conexión Teradata a DBeaver diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md index 1e5edd23e0..95574b750b 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md @@ -9,7 +9,7 @@ description: Utilizar Vantage con ODBC en Ubuntu keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, odbc, ubuntu] --- -import ClearscapeDocsNote from '../../_partials/teradata_trial.mdx' +import TrialDocsNote from '../../_partials/teradata_trial.mdx' import CommunityLink from '../../_partials/community_link.mdx' # Utilizar Vantage con ODBC en Ubuntu @@ -21,7 +21,7 @@ Este tutorial demuestra cómo utilizar el controlador ODBC con Teradata Vantage ## Prerrequisitos * Acceso a una instancia de Teradata Vantage. - + * Acceso root a una máquina Ubuntu. ## Instalación diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md index 748bcfd11e..b65af5dc5c 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md @@ -8,7 +8,7 @@ description: Cómo conectarse a Teradata Vantage mediante JDBC keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, JDBC, java applications, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Conectarse a Vantage mediante JDBC @@ -21,7 +21,7 @@ Este tutorial demuestra cómo conectarse a Teradata Vantage mediante JDBC usando * Acceso a una instancia de Teradata Vantage. - + * JDK * Maven diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md index 861f873bf7..16bed7a6cc 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md @@ -8,7 +8,7 @@ description: Consulta Teradata Vantage desde un servicio Mule keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, Mule, JDBC, microservicios] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Consulta Teradata Vantage desde un servicio Mule @@ -23,7 +23,7 @@ Demuestra cómo consultar una base de datos de Teradata y exponer los resultados * Mulesoft Anypoint Studio. Puede descargar una prueba de 30 días desde https://www.mulesoft.com/platform/studio. * Acceso a una instancia de Teradata Vantage. - + ## Servicio de ejemplo diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md index 48084a1d6b..5e139a71be 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md @@ -7,7 +7,7 @@ description: Enviar consultas mediante REST API. Teradata® Query Service es un keywords: [query service, teradata, vantage, query, REST API] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Enviar consultas mediante REST API @@ -22,7 +22,7 @@ Este tutorial proporciona ejemplos de casos de uso comunes para ayudarlo a comen Antes de comenzar, asegúrese de tener: * Acceso a un sistema VantageCloud donde se proporcione Query Service, o un VantageCore con conectividad habilitada para Query Service. Si es administrador y necesita instalar Query Service, consulte la [Guía de instalación, configuración y uso de Query Service](https://docs.teradata.com/r/Teradata-Query-Service-Installation-Configuration-and-Usage-Guide-for-Customers/April-2022). - + * Nombre de host del servicio de consulta y nombre del sistema * Credenciales de autorización para conectarse a la base de datos diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md index 8628bed2a1..6bc7ae3bf4 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md @@ -8,7 +8,7 @@ description: Cómo conectarse a Teradata Vantage mediante el controlador de base keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, teradatasql, python applications, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Conectarse a Vantage mediante Python @@ -32,7 +32,7 @@ El paquete `teradatasql` se ejecuta en Windows, macOS (10.14 Mojave o posterior) * Acceso a una instancia de Teradata Vantage. Actualmente, el controlador es compatible con Teradata Database 16.10 y versiones posteriores. - + ## Código para enviar una consulta diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md index 22d9b3c60d..7ac01989cc 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md @@ -9,7 +9,7 @@ description: Casos de uso avanzados de dbt (Data Build Tool) con Teradata Vantag keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Casos de uso avanzados de dbt con Teradata Vantage @@ -31,7 +31,7 @@ La aplicación de estos conceptos se ilustra a través del proceso ELT de `teddy * Acceso a una instancia de Teradata Vantage. - + * Python **3.7**, **3.8**, **3.9** o **3.10** instalado. diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md index 6dd20fe093..1f2fa68125 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md @@ -8,7 +8,7 @@ description: Utilizar Apache Airflow con Teradata Vantage keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, airflow, workflow.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Utilizar Apache Airflow con Teradata Vantage @@ -19,7 +19,7 @@ Este tutorial demuestra cómo utilizar Airflow con Teradata Vantage. Airflow se ## Prerrequisitos * Ubuntu 22.x * Acceso a una instancia de Teradata Vantage. - + * Python **3.8**, **3.9**, **3.10** o **3.11** instalado. * pip diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md index a77384895b..3818757ce3 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md @@ -15,10 +15,10 @@ Este tutorial demuestra cómo crear una conexión a Teradata Vantage con DataHub ## Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * DataHub instalado. Consulte [Guía de inicio rápido de DataHub](https://datahubproject.io/docs/quickstart) ## Configurar centro de datos diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md index 8a7b36a979..70bc703ec2 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md @@ -42,10 +42,10 @@ Para más información, consulte la [*documentación*](https://docs.teradata.com ### Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * Una cuenta de Azure. Puede comenzar con una [cuenta gratuita](https://azure.microsoft.com/free). * Una cuenta de [Azure Blob Storage](https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account?tabs=azure-portal) para almacenar el conjunto de datos diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md index 29353b310e..6876f11403 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md @@ -8,7 +8,7 @@ description: Utilizar dbt (herramienta de creación de datos) con Teradata Vanta keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; @@ -23,7 +23,7 @@ En este tutorial se realiza una demostración de cómo utilizar dbt (Data Build * Acceso a una instancia de Teradata Vantage. - + * Python **3.7**, **3.8**, **3.9**, **3.10** o **3.11** instalado. diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md index a43e302943..01150d5fa8 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md @@ -22,10 +22,10 @@ A menudo tenemos la necesidad de mover grandes volúmenes de datos a Vantage. Te ## Requisitos previos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * Descargue Teradata Tools and Utilities (TTU) - plataformas compatibles: [Windows](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package), [MacOS](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-macos-installation-package), [Linux](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-linux-installation-package-0) (requires registration). ## Install TTU diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md index bc6e4fbab0..8cc56049d5 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md @@ -6,7 +6,7 @@ page_last_update: 4 de agosto de 2023 description: Integración de dbt y Feast con Teradata keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML, AI, ML, feature engineering, feature store, FEAST] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Utilizar dbt y FEAST para crear un almacén de funciones en Teradata Vantage @@ -26,7 +26,7 @@ Este tutorial muestra un enfoque para crear una canalización dbt que toma datos * Acceso a una instancia de base de datos de Teradata Vantage. - + * Feast-Teradata instalado localmente. Consulte las [Instrucciones de instalación de Feast-Teradata](using-feast-feature-store-with-teradata-vantage.md) diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md index 41690c7842..56d95a15e6 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md @@ -19,11 +19,11 @@ Para incorporar datos en Amazon S3 cuando la catalogación no es un requisito, t ### Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una [cuenta de Amazon AWS](https://aws.amazon.com) * Acceso a una instancia de Teradata Vantage - + * Una base de datos [cliente](../connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md) para enviar consultas para cargar los datos de prueba ### Carga de datos de prueba diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md index 9dede9405c..33ba053bf5 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md @@ -44,10 +44,10 @@ Se espera que esté familiarizado con el servicio Amazon AppFlow y Teradata Vant Necesitará las siguientes cuentas y sistemas: -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * Una cuenta de AWS con el rol que puede crear y ejecutar flujos. * Un depósito de Amazon S3 para almacenar datos de Salesforce (es decir, ptctsoutput) * Un depósito de Amazon S3 para almacenar datos de Vantage sin procesar (archivo Parquet) (es decir, vantageparquet). Este depósito debe tener una política que permita el acceso a Amazon AppFlow diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md index 4a2c7cf0b2..486bea4a9a 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md @@ -8,7 +8,7 @@ description: 'Teradata Vantage Native Object Storage: lectura y escritura desde/ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Consultar datos almacenados en el almacenamiento de objetos @@ -21,7 +21,7 @@ Native Object Storage (NOS) es una característica de Vantage que le permite con Necesita acceso a una instancia de Teradata Vantage. NOS está habilitado en todas las ediciones de Vantage, desde Vantage Express hasta Developer, DYI y Vantage as a Service a partir de la versión 17.10. - + ## Explorar datos con NOS diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md index 7ac364af33..f886cbaff0 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md @@ -9,7 +9,7 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud id: run-bulkloads-efficiently-with-teradata-parallel-transporter --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx'; +import TrialDocsNote from '../_partials/teradata_trial.mdx'; import Tabs from '../_partials/tabsTPT.mdx'; # Ejecutar grandes cargas masivas de manera eficiente con Teradata Parallel Transporter (TPT) @@ -21,7 +21,7 @@ A menudo tenemos la necesidad de mover grandes volúmenes de datos a Vantage. Te ## Prerrequisitos * Acceso a una instancia de Teradata Vantage. - + * Descargue Teradata Tools and Utilities (TTU) - Plataformas compatibles: [Windows](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package), [MacOS](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-mac-osx-installation-package), [Linux](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-linux-installation-package-0) (requiere registro). diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md index 3caf037358..1ea7fdc470 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md @@ -8,7 +8,7 @@ description: Almacene eventos de Twilio Segment en Teradata Vantage. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, customer data platform, cdp, segment] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import tabsDBT from '../_partials/tabsDBT.mdx' @@ -30,7 +30,7 @@ En esta solución, Twilio Segment escribe datos de eventos sin procesar en Googl 2. `gcloud` instalado. Consulte https://cloud.google.com/sdk/docs/install. 3. Una instancia de Teradata Vantage con la que Google Cloud Run pueda comunicarse. - + ### Construir e implementar diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md index 4f576662f9..d1370f89dc 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md @@ -19,10 +19,10 @@ Este tutorial se basa en el [tutorial de Jaffle Shop sobre dbt](https://github.c ## Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. - + * Datos de muestra: los datos de muestra del [conjunto de datos de Jaffle Shop](https://docs.google.com/spreadsheets/d/1-R4F3q8J9KDnFRWpiT3Ysp1RlOoUu3PeQR7xDeLxFts/edit#gid=42273685) se pueden encontrar en Google Sheets. * Referencia del repositorio del proyecto dbt: [Proyecto Jaffle con Airbyte.](https://github.com/Teradata/airbyte-dbt-jaffle) * Python 3.7, 3.8, 3.9, 3.10 o 3.11 instalado. diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md index 6d200926fb..06c444d8ae 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md @@ -23,10 +23,10 @@ Este tutorial muestra cómo usar Airbyte para mover datos desde fuentes a Terada ## Prerrequisitos -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Acceso a una instancia de Teradata Vantage. Se definirá como el destino de la conexión de Airbyte. Necesitará una base de datos `Host`, `Username` y `Password` para la configuración de Airbyte. - + * [API de Google Cloud Platform habilitada para su cuenta personal o de organización](https://support.google.com/googleapi/answer/6158841?hl=en). Tendrás que autenticar tu cuenta de Google a través de OAuth o a través del Autenticador de claves de cuenta de servicio. En este ejemplo, usamos el autenticador de clave de cuenta de servicio. diff --git a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md index 8313bcadb5..ef2c5b6628 100644 --- a/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md +++ b/i18n/es/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md @@ -17,9 +17,9 @@ El conector de Feast para Teradata es una implementación completa con soporte p Acceso a una instancia de Teradata Vantage. -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' - + ## Información general diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md index f13b5c44d9..d6e0f5a861 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md @@ -6,7 +6,7 @@ page_last_update: 2022 年 1 月 14 日 description: Teradata Vantage を Power BI Desktop に接続します。 keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, microsoft power bi, power bi] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Vantage を使用して Power BI で視覚化を作成する @@ -46,7 +46,7 @@ Azure サービス、Teradata Vantage、Power BI Desktop に精通している * ユーザー名とパスワードを持つ Teradata Vantage インスタンス。ユーザーには、Power BI Desktop で使用できるデータへのアクセス許可が必要です。Vantage は Power BI Desktop からアクセスできる必要があります。 - + * [.NET Data Provider for Teradata](https://downloads.teradata.com/download/connectivity/net-data-provider-for-teradata)。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md index 42acb69771..6a49641863 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md @@ -7,7 +7,7 @@ description: ClearScape Analytics ModelOps を使用して PMML モデルを Van keywords: [modelops, byom, python, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # ModelOps - 初めてのBYOMモデルのインポートとデプロイ @@ -33,7 +33,7 @@ import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' - + ## 最初に知っておくべき重要な概念 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md index ab79a0f528..13dfa16913 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md @@ -6,7 +6,7 @@ page_last_update: 2023 年 5 月 29 日 description: ModelOps と Git リポジトリを使用して Python モデルを Vantage にデプロイおよび監視するためのチュートリアル keywords: [modelops, python, git, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import ModelOpsBasic from '../_partials/modelops-basic.mdx' # ModelOps - 初めてのGITモデルのインポートとデプロイ @@ -21,7 +21,7 @@ import ModelOpsBasic from '../_partials/modelops-basic.mdx' * Jupyter Notebookを実行する機能 - + 必要なファイル diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md index cbacf4e844..c38094837b 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md @@ -6,7 +6,7 @@ page_last_update: 2024年3月19日 description: モデルファクトリーソリューションのチュートリアル - ClearScape Analytics ModelOps を使用した Airflow ワークフローの実行 keywords: [modelfactory, modelops, byom, python, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # ModelOps で Airflow ワークフローを実行する - Model Factory ソリューション アクセラレータ @@ -31,7 +31,7 @@ Airflow と ClearScape Analytics ModelOps を使用して Model Factory Solution - + ## Visual Studio Code の設定と docker-compose での Airflow のインストール diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md index b75c8fcb06..b4a5540745 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md @@ -6,7 +6,7 @@ page_last_update: 2022 年 6 月 28 日 description: Google Vertex AIとTeradata Jupyterエクステンションを統合する keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import JupyterClearscapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'; # Google Vertex AIとTeradata Jupyterエクステンションを統合する @@ -22,7 +22,7 @@ Vertex AI ワークベンチは、管理対象ノートブックとユーザー ## 前提条件 * Teradata Vantageインスタンスへのアクセス。 - + * Vertex AIを有効にしたGoogle Cloudアカウント * 起動スクリプトとTeradata Jupyter拡張パッケージを保存するためのGoogleクラウドストレージ diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md index 092778df8b..40aaa2deea 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md @@ -7,7 +7,7 @@ description: Teradata Jupyter Extentionsと SageMakerNotebookインスタンス keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import JupyterClearScapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'; # Teradata Jupyter Extentionsと SageMakerNotebookインスタンスを統合する @@ -22,7 +22,7 @@ Teradata Jupyter 拡張機能は、Teradata SQL カーネルといくつかの U * Teradata Vantageインスタンスへのアクセス。 - + * AWS アカウント * ライフサイクル構成スクリプトとTeradata Jupyter Extentionsパッケージを格納するためのAWS S3バケット diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md index d8bc8e90e6..078e2355d5 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/integrate-teradata-vantage-with-knime.md @@ -20,10 +20,10 @@ KNIME Analytics Platform はデータ サイエンス ワークベンチです ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantage インスタンス、バージョン 17.10 以降へのアクセス。 - + * KNIMEはローカルにインストールされています。詳細については [KNIME インストール手順](https://www.knime.com/installation) を参照してください。 ## 統合手順 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md index 515b9b234b..ed39182516 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/jupyter.md @@ -10,7 +10,7 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud --- import ClearscapeJyupiter from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx' -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Jupyter NotebookからVantageを利用する方法 @@ -20,7 +20,7 @@ import CommunityLink from '../_partials/community_link.mdx' ## 概要 このハウツーでは、Jupyter Notebookから Teradata Vantage に接続する手順を説明します。 - + ## オプション diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md index 2263e5d898..c27a24e489 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/local-jupyter-hub.md @@ -9,7 +9,7 @@ description: Teradata Jupyter 拡張機能を顧客の JupyterHub クラスタ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, java applications, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Teradata Jupyter ExtensionsをJupyter Hubにデプロイする方法 @@ -23,7 +23,7 @@ import CommunityLink from '../_partials/community_link.mdx' このページには、2 つのオプションに関する詳細な手順が記載されています。手順は、顧客の JupyterHub デプロイメントが[Kubernetes で JupyterHub をゼロから構築](https://zero-to-jupyterhub.readthedocs.io/en/latest/index.html)に基づいているという前提に基づいています。 - + ## Teradata Jupyter Dockerイメージの使用 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md index 1f662f26a7..1a485acb77 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/ml.md @@ -9,7 +9,7 @@ description: Teradata Vantage を離れることなく ML モデルをトレー keywords: [data warehouses, database analytic functions, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # データベース分析関数を使用して Vantage で ML モデルをトレーニングする @@ -21,7 +21,7 @@ import CommunityLink from '../_partials/community_link.mdx' ## 前提条件 Teradata Vantageインスタンスへのアクセス。 - + ## サンプルデータを読み込む diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md index 217de7338c..8d237fd9e0 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/perform-time-series-analysis-using-teradata-vantage.md @@ -8,7 +8,7 @@ description: Teradata Vantageを使用した時系列解析の実行 keywords: [data warehouses, analytics, teradata, vantage, time series, business intelligence, enterprise analytics, time series, time series analysis] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Teradata Vantageを使用した時系列解析の実行 @@ -21,7 +21,7 @@ import CommunityLink from '../_partials/community_link.mdx' Teradata Vantage インスタンスにアクセスする必要があります。時系列機能と NOS は、バージョン 17.10 以降、Vantage Express から Developer、DYI、Vantage as a Service までのすべての Vantage エディションで有効になります。 - + ## Vantage NOSを使用してAWS S3からのデータセットをインポートする diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md index e926011300..ebd65d1cb1 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sagemaker-with-teradata-vantage.md @@ -29,10 +29,10 @@ Amazon SageMaker は、Amazon S3 バケットからトレーニング データ ### 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * Amazon S3 バケットにアクセスし、Amazon SageMaker サービスを使用するための IAM 権限。 * トレーニングデータを保存するための Amazon S3 バケット。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md index b90e791893..943512f107 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/sto.md @@ -9,7 +9,7 @@ description: Teradataでのアプリケーションの実行:スクリプト テ keywords: [data warehouses, compute storage separation, teradata, vantage, script table operator, cloud data platform, object storage, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Vantage でスクリプトを実行する方法 @@ -22,7 +22,7 @@ import CommunityLink from '../_partials/community_link.mdx' Teradata Vantageインスタンスへのアクセス。 - + ## Hello World diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md index 4867cb14f6..98180b24d1 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md @@ -19,10 +19,10 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * Azureサブスクリプションまたは作成 [無料アカウント](https://azure.microsoft.com/free) * [Azure ML Studio ワークスペース](https://docs.microsoft.com/en-us/azure/machine-learning/studio/create-workspace) * (オプション) [AdventureWorks DW 2016 データベース](https://docs.microsoft.com/en-us/sql/samples/adventureworks-install-configure?view=sql-server-2017) (つまり _「モデルの学習」_ セクション) をダウンロードします diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md index 943e7774dc..58d0833913 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md @@ -15,10 +15,10 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * DBeaverがインストールされています。インストールオプションについては [DBeaver コミュニティ](https://dbeaver.io/download) または [DBeaver PRO](https://dbeaver.com/download) を参照してください。 ## DBeaverにTeradataの接続を追加する diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md index 19631c8e93..ce035600cc 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/connect-to-vantage/configure-odbc/odbc.ubuntu.md @@ -9,7 +9,7 @@ description: UbuntuからのODBCによるVantageへの接続 keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, odbc, ubuntu] --- -import ClearscapeDocsNote from '../../_partials/teradata_trial.mdx' +import TrialDocsNote from '../../_partials/teradata_trial.mdx' import CommunityLink from '../../_partials/community_link.mdx' # UbuntuからのODBCによるVantageへの接続 @@ -21,7 +21,7 @@ import CommunityLink from '../../_partials/community_link.mdx' ## 前提条件 * Teradata Vantageインスタンスへのアクセス。 - + * Ubuntu マシンへのルートアクセス。 ## インストール diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md index a60ff878eb..45f0fdfcac 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/jdbc.md @@ -8,7 +8,7 @@ description: JDBCでVantageに接続する方法 keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, ODBC ドライバ, Java アプリケーション, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # JDBC を使用して Vantage に接続する方法 @@ -21,7 +21,7 @@ import CommunityLink from '../_partials/community_link.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * JDK * Maven diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md index 33ca6b54de..238135f3a6 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/mule-dbc-example.md @@ -8,7 +8,7 @@ description: Mule サービスから Teradata Vantage をクエリーします keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, Mule, JDBC, microservices] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Mule サービスから Teradata Vantage をクエリーMule サービスから Teradata Vantage をクエリーするする方法 @@ -23,7 +23,7 @@ Teradata データベースにクエリーを実行し、REST API 経由で結 * Mulesoft Anypoint Studio。https://www.mulesoft.com/platform/studio から 30 日間の試用版をダウンロードできます。 * Teradata Vantageインスタンスへのアクセス。 - + ## サービス例 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md index c2e07d19bd..419d480fea 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/send-queries-using-rest-api.md @@ -7,7 +7,7 @@ description: REST API を使用してクエリーを送信します。Teradata® keywords: [query service, teradata, vantage, query, REST API] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # REST APIを使ってVantageにクエリーを送信する方法 @@ -22,7 +22,7 @@ Teradata Query Service は、クライアント側のドライバを管理せず 始める前に、以下のものが揃っていることを確認してください。 \* クエリー サービスがプロビジョニングされている VantageCloud システム、またはクエリー サービスが有効な接続を備えた VantageCore へのアクセス。管理者であり、クエリー サービスをインストールする必要がある場合は、 [クエリー サービスのインストール、構成、および使用ガイド](https://docs.teradata.com/r/Teradata-Query-Service-Installation-Configuration-and-Usage-Guide-for-Customers/April-2022)を参照してください。 - + \* クエリーサービスのホスト名とシステム名 * データベースに接続するための認証情報 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md index ce9d64865d..fd906f41ab 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/create-applications/teradatasql.md @@ -8,7 +8,7 @@ description: teradatasql Python データベース ドライバを使用して T keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, teradatasql, Python アプリケーション, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Python を使用して Vantage に接続する方法 @@ -32,7 +32,7 @@ pip install teradatasql * Teradata Vantage インスタンスへのアクセス。現在、ドライバは Teradata Database 16.10 以降のリリースでの使用がサポートされています。 - + ## クエリーを送信するコード diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md index 7a3fd370a8..7ea2019297 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/advanced-dbt.md @@ -9,7 +9,7 @@ description: Teradata Vantage を使用した高度な dbt (データ構築ツ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Teradata Vantage を使用した高度な dbt のユースケース @@ -30,7 +30,7 @@ import CommunityLink from '../_partials/community_link.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * Python **3.7**、**3.8**、**3.9**、または **3.10** がインストールされていること。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md index 07b63522a2..1980e25ede 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/airflow.md @@ -8,7 +8,7 @@ description: Teradata Vantage で Apache Airflow を使用します。 keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, airflow, workflow.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Teradata Vantage で Apache Airflow を使用する @@ -19,7 +19,7 @@ import CommunityLink from '../_partials/community_link.mdx' ## 前提条件 * Ubuntu22.x * Teradata Vantageインスタンスへのアクセス。 - + * Python **3.8**、**3.9**、**3.10**、または **3.11** がインストールされていること。 * ピップ diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md index ee117dfb29..d05f01ee0c 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/configure-a-teradata-vantage-connection-in-datahub.md @@ -15,10 +15,10 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * DataHubがインストールされています。 [ DataHubクイックスタートガイド](https://datahubproject.io/docs/quickstart) ## DataHubのセットアップ diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md index cf91503ddd..2b5fb7eb0b 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/connect-azure-data-share-to-teradata-vantage.md @@ -42,10 +42,10 @@ Teradata Vantage Native Object Store (NOS) を使用すると、標準 SQL を ### 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * Azure アカウント。 [無料アカウント](https://azure.microsoft.com/free)で始めることができます。 * データセットを保存するための [Azure Blob Storage](https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account?tabs=azure-portal) アカウント diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md index abc19b5155..216a5321c2 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/dbt.md @@ -8,7 +8,7 @@ description: Teradata Vantage では dbt (データ構築ツール) を使用し keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; @@ -23,7 +23,7 @@ import TabItem from '@theme/TabItem'; * Teradata Vantageインスタンスへのアクセス。 - + * Python **3.7**、**3.8**、**3.9**、**3.10**、または **3.11** がインストールされていること。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md index 08f572ac7e..d9e812433c 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/fastload.md @@ -22,10 +22,10 @@ Vantageに大量のデータを移動させるニーズはよくあります。T ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * Teradata Tools and Utilities (TTU) をダウンロード - サポートされているプラットフォーム: [Windows](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package), [MacOS](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-macos-installation-package), [Linux](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-linux-installation-package-0) (登録が必要です)。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md index e1b7f87676..32576bdeb1 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/getting-started-dbt-feast-teradata-pipeline.md @@ -6,7 +6,7 @@ page_last_update: 2023 年 8 月 4 日 description: dbt Feast と Teradata の統合 keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML, AI, ML, feature engineering, feature store, FEAST] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # dbt と FEAST を使用して Teradata Vantage でフィーチャストアを構築する方法 @@ -26,7 +26,7 @@ import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * Feast-Teradata がローカルにインストールされている。[ Feast-Teradata のインストール手順](using-feast-feature-store-with-teradata-vantage.md) を参照してください。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md index 5bb3740be7..a2b1714ef7 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/ingest-catalog-data-teradata-s3-with-glue.md @@ -19,11 +19,11 @@ keywords: [data warehouses, object storage, teradata, vantage, cloud data platfo ### 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * アクセス [Amazon AWS アカウント](https://aws.amazon.com) * Teradata Vantageインスタンスへのアクセス。 - + * テストデータをロードするためのクエリーを送信するデータベース [クライアント](../connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md) ### テストデータの読み込み diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md index 564ebbb79a..ba4add3773 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md @@ -44,10 +44,10 @@ Amazon AppFlowサービスおよびTeradata Vantageに精通していること 以下のアカウントとシステムが必要です。 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * フローの作成と実行が可能なロールを持つAWSアカウント。 * Salesforce データを保存するための Amazon S3 バケット (例: ptctsoutput) * 生のVantageデータ（Parquetファイル）を保存するAmazon S3バケット（つまり、vantageparquet）。このバケットには、Amazon AppFlowアクセスを許可するポリシーが必要です。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md index 70bb65df2c..df9f1f5509 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/nos.md @@ -8,7 +8,7 @@ description: Teradata Vantage Native Object Storage - オブジェクト スト keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # オブジェクトストレージに保存されたクエリーデータ @@ -21,7 +21,7 @@ import CommunityLink from '../_partials/community_link.mdx' Teradata Vantage インスタンスにアクセスする必要があります。NOS は、バージョン 17.10 以降、Vantage Express から Developer、DYI、Vantage as a Service までのすべての Vantage エディションで有効になります。 - + ## NOSでデータを探索する diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md index 502b4b1186..d7f3321ac6 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md @@ -9,7 +9,7 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud id: run-bulkloads-efficiently-with-teradata-parallel-transporter --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx'; +import TrialDocsNote from '../_partials/teradata_trial.mdx'; import Tabs from '../_partials/tabsTPT.mdx'; # Teradata Parallel Transporter（TPT）を使用した巨大なデータのバルクロード @@ -21,7 +21,7 @@ import Tabs from '../_partials/tabsTPT.mdx'; ## 前提条件 * Teradata Vantageインスタンスへのアクセス。 - + * Teradata Tools and Utilities (TTU) をダウンロード - サポートされているプラットフォーム: [Windows](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package), [MacOS](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-mac-osx-installation-package), [Linux](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-linux-installation-package-0) (登録が必要です). diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md index 45883fb810..239d2ab960 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/segment.md @@ -8,7 +8,7 @@ description: Twilio Segmentからのイベントを Teradata Vantage に保存 keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, customer data platform, cdp, segment] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import tabsDBT from '../_partials/tabsDBT.mdx' @@ -30,7 +30,7 @@ import tabsDBT from '../_partials/tabsDBT.mdx' 2. `gcloud` インストール済み。https://cloud.google.com/sdk/docs/install をご覧ください。 3. Google Cloud Run が通信できる Teradata Vantage インスタンス。 - + ### 構築とデプロイ diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md index 01242b2ce2..f792656ab7 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md @@ -19,10 +19,10 @@ keywords: [dbt, airbyte, data transformation, data warehouses, compute storage s ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantageインスタンスへのアクセス。 - + * サンプルデータ: サンプルデータ [Jaffleショップデータセット](https://docs.google.com/spreadsheets/d/1-R4F3q8J9KDnFRWpiT3Ysp1RlOoUu3PeQR7xDeLxFts/edit#gid=42273685) はGoogle スプレッドシートにあります。 * 参照 dbt プロジェクト リポジトリ: [Airbyte との Jaffle プロジェクト。](https://github.com/Teradata/airbyte-dbt-jaffle) * Python 3.7、3.8、3.9、3.10、または 3.11 がインストールされています。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md index f8dfe8d4e9..5f61275819 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md @@ -23,10 +23,10 @@ dir: getting-started-with-airbyte ## 前提条件 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Teradata Vantage インスタンスへのアクセス。これは、Airbyte 接続の宛先として定義されます。Airbyte の構成には、データベース `Host`、 `Username`、 `Password` が必要です。 - + * [個人または組織のアカウントで Google Cloud Platform API が有効になっている](https://support.google.com/googleapi/answer/6158841?hl=en)OAuth またはサービス アカウント キー認証システムを使用して Google アカウントを認証する必要があります。この例では、サービス アカウント キー認証システムを使用します。 diff --git a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md index 2d137c1265..e64446fccb 100644 --- a/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md +++ b/i18n/ja/docusaurus-plugin-content-docs-quickstarts/current/manage-data/using-feast-feature-store-with-teradata-vantage.md @@ -17,9 +17,9 @@ Feast の Teradata 用コネクタは、すべての機能をサポートする Teradata Vantageインスタンスへのアクセス。 -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' - + ## 概要 diff --git a/quickstarts/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md b/quickstarts/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md index 0596aba161..86bb719e81 100644 --- a/quickstarts/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md +++ b/quickstarts/analyze-data/create-stunning-visualizations-in-power-bi-using-data-from-teradata-vantage.md @@ -6,7 +6,7 @@ page_last_update: January 14th, 2022 description: Connect Teradata Vantage to Power BI Desktop. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, microsoft power bi, power bi] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Create Vizualizations in Power BI using Vantage @@ -46,7 +46,7 @@ You will need the following accounts and system. * A Teradata Vantage instance with a user and password. The user must have permission to data that can be used by Power BI Desktop. Vantage must be accessible from Power BI Desktop. - + * The [.NET Data Provider for Teradata](https://downloads.teradata.com/download/connectivity/net-data-provider-for-teradata). diff --git a/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md b/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md index 707a863da2..7edf708509 100644 --- a/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md +++ b/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-byom.md @@ -7,7 +7,7 @@ description: Tutorial for deploying and monitoring a PMML model into Vantage usi keywords: [modelops, byom, python, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # ModelOps - Import and Deploy your first BYOM Model @@ -33,7 +33,7 @@ We provide an associated notebook and sample data that you can import into your - + ## Key concepts you should know about first diff --git a/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md b/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md index b354680ac3..72e8dcef5a 100644 --- a/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md +++ b/quickstarts/analyze-data/deploy-and-monitor-machine-learning-models-with-teradata-modelops-and-git.md @@ -6,7 +6,7 @@ page_last_update: May 29th, 2022 description: Tutorial for deploying and monitoring a Python model into Vantage using ModelOps and Git repository keywords: [modelops, python, git, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import ModelOpsBasic from '../_partials/modelops-basic.mdx' # ModelOps - Import and Deploy your first GIT Model @@ -21,7 +21,7 @@ This is a how-to for people who are new to ClearScape Analytics ModelOps. In the * Ability to run Jupyter notebooks - + Files needed diff --git a/quickstarts/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md b/quickstarts/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md index 326ee73763..da015e1a2f 100644 --- a/quickstarts/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md +++ b/quickstarts/analyze-data/execute-airflow-workflows-with-clearscape-analytics-modelops-model-factory-solution.md @@ -6,7 +6,7 @@ page_last_update: Mar 19th, 2024 description: Tutorial for Model Factory Solution - Executing Airflow workflows with ClearScape Analytics ModelOps keywords: [modelfactory, modelops, byom, python, clearscape analytics, teradata, data warehouses, teradata, vantage, cloud data platform, machine learning, artificial intelligence, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Execute Airflow workflows with ModelOps - Model Factory Solution Accelerator @@ -31,7 +31,7 @@ In order to execute shell commands, you can install the VS code extension **"Rem - + ## Configuring Visual Studio Code and Installing Airflow on docker-compose diff --git a/quickstarts/analyze-data/geojson-to-vantage.md b/quickstarts/analyze-data/geojson-to-vantage.md index 63f6e6ef05..6e01857e22 100644 --- a/quickstarts/analyze-data/geojson-to-vantage.md +++ b/quickstarts/analyze-data/geojson-to-vantage.md @@ -7,7 +7,7 @@ description: How to load and use GeoJson documents with Teradata Vantage. keywords: [geospatial, geojson, teradata, vantage, cloud data platform, analytics, maps, 4d analytics, open data] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLinkPartial from '../_partials/community_link.mdx'; # Use geographic reference data with Vantage @@ -30,7 +30,7 @@ The first method is a straig forward ELT pattern for semi-structured format proc You will need: - Access to a Teradata Vantage instance. - + - A Python 3 interpreter - A SQL Client diff --git a/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md b/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md index ecbbee6144..7a368beca6 100644 --- a/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md +++ b/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-google-vertex-ai.md @@ -6,7 +6,7 @@ page_last_update: June 28th, 2022 description: Integrate Teradata Jupyter extensions with Google Vertex AI keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import JupyterClearscapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'; # Integrate Teradata Jupyter extensions with Google Vertex AI @@ -22,7 +22,7 @@ Vertex AI workbench supports two types of notebooks: managed notebooks and user- ## Prerequisites * Access to a Teradata Vantage instance - + * Google Cloud account with Vertex AI enabled * Google cloud storage to store startup scripts and Teradata Jupyter extension package diff --git a/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md b/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md index ce1f6043dc..eeaef7afd1 100644 --- a/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md +++ b/quickstarts/analyze-data/integrate-teradata-jupyter-extensions-with-sagemaker.md @@ -7,7 +7,7 @@ description: Integrate Teradata Jupyter extensions with SageMaker notebook insta keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import JupyterClearScapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'; # Integrate Teradata Jupyter extensions with SageMaker notebook instance @@ -22,7 +22,7 @@ Teradata Jupyter extensions provide Teradata SQL kernel and several UI extension * Access to a Teradata Vantage instance - + * AWS account * AWS S3 bucket to store lifecycle configuration scripts and Teradata Jupyter extension package diff --git a/quickstarts/analyze-data/integrate-teradata-vantage-with-knime.md b/quickstarts/analyze-data/integrate-teradata-vantage-with-knime.md index 8c5f590c1a..75edcb73ea 100644 --- a/quickstarts/analyze-data/integrate-teradata-vantage-with-knime.md +++ b/quickstarts/analyze-data/integrate-teradata-vantage-with-knime.md @@ -20,10 +20,10 @@ KNIME Analytics Platform is a data science workbench. It supports analytics on v ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance, version 17.10 or higher. - + * KNIME installed locally. See [KNIME installation instructions](https://www.knime.com/installation) for details. ## Integration Procedure diff --git a/quickstarts/analyze-data/jupyter.md b/quickstarts/analyze-data/jupyter.md index ba2c55a24d..fbf77ceabb 100644 --- a/quickstarts/analyze-data/jupyter.md +++ b/quickstarts/analyze-data/jupyter.md @@ -10,7 +10,7 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud --- import ClearscapeJyupiter from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx' -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Use Vantage from a Jupyter notebook @@ -20,7 +20,7 @@ import CommunityLink from '../_partials/community_link.mdx' ## Overview In this how-to we will go through the steps for connecting to Teradata Vantage from a Jupyter notebook. - + ## Options diff --git a/quickstarts/analyze-data/local-jupyter-hub.md b/quickstarts/analyze-data/local-jupyter-hub.md index cb97d0f3cd..ed2fc19b9f 100644 --- a/quickstarts/analyze-data/local-jupyter-hub.md +++ b/quickstarts/analyze-data/local-jupyter-hub.md @@ -9,7 +9,7 @@ description: Deploy Teradata Jupyter extensions in customer JupyterHub clusters keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, java applications, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Deploy Teradata Jupyter extensions to JupyterHub @@ -23,7 +23,7 @@ For customers who have their own JupyterHub clusters, there are two options to i This page contains detailed instructions on the two options. Instructions are based on the assumption that the customer JupyterHub deployment is based on [Zero to JupyterHub with Kubernetes](https://zero-to-jupyterhub.readthedocs.io/en/latest/index.html). - + ## Use Teradata Jupyter Docker image diff --git a/quickstarts/analyze-data/ml.md b/quickstarts/analyze-data/ml.md index af2ca857a8..9ff70a2d41 100644 --- a/quickstarts/analyze-data/ml.md +++ b/quickstarts/analyze-data/ml.md @@ -9,7 +9,7 @@ description: Train an ML model without leaving Teradata Vantage - use Vantage Da keywords: [data warehouses, database analytic functions, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Train ML models in Vantage using Database Analytic Functions @@ -21,7 +21,7 @@ There are situations when you want to quickly validate a machine learning model ## Prerequisites You need access to a Teradata Vantage instance. - + ## Load the sample data diff --git a/quickstarts/analyze-data/perform-time-series-analysis-using-teradata-vantage.md b/quickstarts/analyze-data/perform-time-series-analysis-using-teradata-vantage.md index bf6f634ade..d6eed7fc01 100644 --- a/quickstarts/analyze-data/perform-time-series-analysis-using-teradata-vantage.md +++ b/quickstarts/analyze-data/perform-time-series-analysis-using-teradata-vantage.md @@ -8,7 +8,7 @@ description: Perform time series analysis using Teradata Vantage keywords: [data warehouses, analytics, teradata, vantage, time series, business intelligence, enterprise analytics, time series, time series analysis] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Perform time series analysis using Teradata Vantage @@ -21,7 +21,7 @@ Time series is series of data points indexed in time order. It is data continuou You need access to a Teradata Vantage instance. Times series functionalities and NOS are enabled in all Vantage editions from Vantage Express through Developer, DYI to Vantage as a Service starting from version 17.10. - + ## Import data sets from AWS S3 using Vantage NOS diff --git a/quickstarts/analyze-data/sagemaker-with-teradata-vantage.md b/quickstarts/analyze-data/sagemaker-with-teradata-vantage.md index d34582b945..ba9a0ccbfd 100644 --- a/quickstarts/analyze-data/sagemaker-with-teradata-vantage.md +++ b/quickstarts/analyze-data/sagemaker-with-teradata-vantage.md @@ -29,10 +29,10 @@ Amazon SageMaker consumes training and test data from an Amazon S3 bucket. This ### Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance. - + * IAM permission to access Amazon S3 bucket, and to use Amazon SageMaker service. * An Amazon S3 bucket to store training data. diff --git a/quickstarts/analyze-data/sto.md b/quickstarts/analyze-data/sto.md index 4c8d4bda34..f9f999059c 100644 --- a/quickstarts/analyze-data/sto.md +++ b/quickstarts/analyze-data/sto.md @@ -9,7 +9,7 @@ description: Run Applications on Teradata - use Script Table Operator to run app keywords: [data warehouses, compute storage separation, teradata, vantage, script table operator, cloud data platform, object storage, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Run scripts on Vantage @@ -22,7 +22,7 @@ Sometimes, you need to apply complex logic to your data that can't be easily exp You need access to a Teradata Vantage instance. - + ## Hello World diff --git a/quickstarts/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md b/quickstarts/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md index f69f41415e..1e762afa2c 100644 --- a/quickstarts/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md +++ b/quickstarts/analyze-data/use-teradata-vantage-with-azure-machine-learning-studio.md @@ -19,10 +19,10 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance. - + * Azure subscription or create [free account](https://azure.microsoft.com/free) * [Azure ML Studio workspace](https://docs.microsoft.com/en-us/azure/machine-learning/studio/create-workspace) * (Optional) Download [AdventureWorks DW 2016 database](https://docs.microsoft.com/en-us/sql/samples/adventureworks-install-configure?view=sql-server-2017) (i.e. _'Training the Model'_ section) diff --git a/quickstarts/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md b/quickstarts/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md index 22920572af..763e035d1a 100644 --- a/quickstarts/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md +++ b/quickstarts/connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md @@ -15,10 +15,10 @@ This how-to demonstrates how to create a connection to Teradata Vantage with DBe ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance. - + * DBeaver installed. See [DBeaver Community](https://dbeaver.io/download) or [DBeaver PRO](https://dbeaver.com/download) for installation options. ## Add a Teradata connection to DBeaver diff --git a/quickstarts/connect-to-vantage/configure-odbc/odbc.ubuntu.md b/quickstarts/connect-to-vantage/configure-odbc/odbc.ubuntu.md index 3e777a008b..d56d66fb95 100644 --- a/quickstarts/connect-to-vantage/configure-odbc/odbc.ubuntu.md +++ b/quickstarts/connect-to-vantage/configure-odbc/odbc.ubuntu.md @@ -9,7 +9,7 @@ description: Use Vantage with ODBC on Ubuntu keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, odbc, ubuntu] --- -import ClearscapeDocsNote from '../../_partials/teradata_trial.mdx' +import TrialDocsNote from '../../_partials/teradata_trial.mdx' import CommunityLink from '../../_partials/community_link.mdx' # Use Vantage with ODBC on Ubuntu @@ -21,7 +21,7 @@ This how-to demonstrates how to use the ODBC driver with Teradata Vantage on Ubu ## Prerequisites * Access to a Teradata Vantage instance. - + * Root access to a Ubuntu machine. ## Installation diff --git a/quickstarts/create-applications/jdbc.md b/quickstarts/create-applications/jdbc.md index aded980ec0..30c6a11b35 100644 --- a/quickstarts/create-applications/jdbc.md +++ b/quickstarts/create-applications/jdbc.md @@ -8,7 +8,7 @@ description: How to connect to Teradata Vantage using JDBC. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, JDBC, java applications, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Connect to Vantage using JDBC @@ -21,7 +21,7 @@ This how-to demonstrates how to connect to Teradata Vantage using JDBC using a s * Access to a Teradata Vantage instance. - + * JDK * Maven diff --git a/quickstarts/create-applications/mule-dbc-example.md b/quickstarts/create-applications/mule-dbc-example.md index c7b808316a..91bd687971 100644 --- a/quickstarts/create-applications/mule-dbc-example.md +++ b/quickstarts/create-applications/mule-dbc-example.md @@ -8,7 +8,7 @@ description: Query Teradata Vantage from a Mule service. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, Mule, JDBC, microservices] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Query Teradata Vantage from a Mule service @@ -23,7 +23,7 @@ It demonstrates how to query a Teradata database and expose results over REST AP * Mulesoft Anypoint Studio. You can download a 30-day trial from https://www.mulesoft.com/platform/studio. * Access to a Teradata Vantage instance. - + ## Example service diff --git a/quickstarts/create-applications/send-queries-using-rest-api.md b/quickstarts/create-applications/send-queries-using-rest-api.md index cbf26e8d78..21fc1c03fb 100644 --- a/quickstarts/create-applications/send-queries-using-rest-api.md +++ b/quickstarts/create-applications/send-queries-using-rest-api.md @@ -7,7 +7,7 @@ description: Send queries using REST API. Teradata® Query Service is a middlewa keywords: [query service, teradata, vantage, query, REST API] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Send queries using REST API @@ -22,7 +22,7 @@ This how-to provides examples of common use cases to help you get started with Q Before starting, make sure you have: * Access to a VantageCloud system where Query Service is provisioned, or a VantageCore with Query Service enabled connectivity. If you are an admin and need to install Query Service, see [Query Service Installation, Configuration, and Usage Guide](https://docs.teradata.com/r/Teradata-Query-Service-Installation-Configuration-and-Usage-Guide-for-Customers/April-2022). - + * Query Service hostname and system name * Authorization credentials to connect to the database diff --git a/quickstarts/create-applications/teradata-connector-mule4.md b/quickstarts/create-applications/teradata-connector-mule4.md index 04e146a835..a0eb83de77 100644 --- a/quickstarts/create-applications/teradata-connector-mule4.md +++ b/quickstarts/create-applications/teradata-connector-mule4.md @@ -7,7 +7,7 @@ description: Use Teradata Connector for MuleSoft's Anypoint Studio. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, mule, mulesoft, teradata connector, anypoint studio.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Teradata Connector - Mule 4 @@ -32,7 +32,7 @@ Before creating an app, you must have: - Anypoint Studio version 7.5 or later - Credentials to access the Teradata Vantage target resource - + ## Common Use Cases for the Connector diff --git a/quickstarts/create-applications/teradatasql.md b/quickstarts/create-applications/teradatasql.md index a2882b4e07..a456a6eb47 100644 --- a/quickstarts/create-applications/teradatasql.md +++ b/quickstarts/create-applications/teradatasql.md @@ -8,7 +8,7 @@ description: How to connect to Teradata Vantage using teradatasql Python databas keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, teradatasql, python applications, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Connect to Vantage using Python @@ -32,7 +32,7 @@ pip install teradatasql * Access to a Teradata Vantage instance. Currently driver is supported for use with Teradata Database 16.10 and later releases. - + ## Code to send a query diff --git a/quickstarts/manage-data/advanced-dbt.md b/quickstarts/manage-data/advanced-dbt.md index cefddc6203..b679361fd0 100644 --- a/quickstarts/manage-data/advanced-dbt.md +++ b/quickstarts/manage-data/advanced-dbt.md @@ -9,7 +9,7 @@ description: Advanced dbt (data build tool) use cases with Teradata Vantage. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Advanced dbt use cases with Teradata Vantage @@ -31,7 +31,7 @@ The application of these concepts is illustrated through the ELT process of `ted * Access to a Teradata Vantage instance. - + * Python **3.7**, **3.8**, **3.9** or **3.10** installed. diff --git a/quickstarts/manage-data/airflow-azure-to-teradata-transfer-operator-doc.md b/quickstarts/manage-data/airflow-azure-to-teradata-transfer-operator-doc.md index 701a8807db..a1ccde72ee 100644 --- a/quickstarts/manage-data/airflow-azure-to-teradata-transfer-operator-doc.md +++ b/quickstarts/manage-data/airflow-azure-to-teradata-transfer-operator-doc.md @@ -9,7 +9,7 @@ keywords: [data warehouses, teradata, vantage, transfer, cloud data platform, ob import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Data Transfer from Azure Blob to Teradata Vantage Using Apache Airflow @@ -23,7 +23,7 @@ Use [The Windows Subsystem for Linux (WSL)](https://learn.microsoft.com/en-us/wi ## Prerequisites * Access to a Teradata Vantage instance, version 17.10 or higher. - + * Python 3.8, 3.9, 3.10 or 3.11 and python3-env, python3-pip installed. diff --git a/quickstarts/manage-data/airflow.md b/quickstarts/manage-data/airflow.md index 71e4c0652b..adff5a5a33 100644 --- a/quickstarts/manage-data/airflow.md +++ b/quickstarts/manage-data/airflow.md @@ -8,7 +8,7 @@ description: Use Apache Airflow with Teradata Vantage. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, airflow, workflow.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Use Apache Airflow with Teradata Vantage @@ -19,7 +19,7 @@ This quickstart demonstrates how to use airflow with Teradata Vantage. Airflow w ## Prerequisites * Ubuntu 22.x * Access to a Teradata Vantage instance. - + * Python **3.8**, **3.9**, **3.10** or **3.11** installed. * pip diff --git a/quickstarts/manage-data/automate-data-movement-and-transformation-with-airflow-airbyte-and-dbt-in-teradata-vantage.md b/quickstarts/manage-data/automate-data-movement-and-transformation-with-airflow-airbyte-and-dbt-in-teradata-vantage.md index 6ed9276f8a..26d87a10f2 100644 --- a/quickstarts/manage-data/automate-data-movement-and-transformation-with-airflow-airbyte-and-dbt-in-teradata-vantage.md +++ b/quickstarts/manage-data/automate-data-movement-and-transformation-with-airflow-airbyte-and-dbt-in-teradata-vantage.md @@ -8,7 +8,7 @@ description: Using Airflow to Orchestrate Airbyte and dbt for Teradata keywords: [data warehouses, airflow, teradata, vantage, orchestration, object storage, airbyte, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import ProfileTabs from '../_partials/tabsDBTProfiles.mdx' @@ -22,7 +22,7 @@ This quickstart demonstrates how to leverage Apache Airflow as orchestration too * Access to a Teradata Vantage instance. - + * [Python](https://www.python.org/downloads/) **3.10** or later installed. diff --git a/quickstarts/manage-data/configure-a-teradata-vantage-connection-in-datahub.md b/quickstarts/manage-data/configure-a-teradata-vantage-connection-in-datahub.md index 8cef8e8970..ded1f28a5e 100644 --- a/quickstarts/manage-data/configure-a-teradata-vantage-connection-in-datahub.md +++ b/quickstarts/manage-data/configure-a-teradata-vantage-connection-in-datahub.md @@ -15,10 +15,10 @@ This how-to demonstrates how to create a connection to Teradata Vantage with Dat ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance. - + * DataHub installed. See [DataHub Quickstart Guide](https://datahubproject.io/docs/quickstart) ## Setup DataHub diff --git a/quickstarts/manage-data/connect-azure-data-share-to-teradata-vantage.md b/quickstarts/manage-data/connect-azure-data-share-to-teradata-vantage.md index bb345f1e96..a8d1e4355d 100644 --- a/quickstarts/manage-data/connect-azure-data-share-to-teradata-vantage.md +++ b/quickstarts/manage-data/connect-azure-data-share-to-teradata-vantage.md @@ -42,10 +42,10 @@ For more information see [*documentation*](https://docs.teradata.com/home). ### Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance. - + * An Azure account. You can start with a [free account](https://azure.microsoft.com/free). * An [Azure Blob Storage](https://docs.microsoft.com/en-us/azure/storage/common/storage-quickstart-create-account?tabs=azure-portal) account to store the dataset diff --git a/quickstarts/manage-data/dagster-teradata-azure-to-teradata-transfer.md b/quickstarts/manage-data/dagster-teradata-azure-to-teradata-transfer.md index a384b151cf..793f0935b0 100644 --- a/quickstarts/manage-data/dagster-teradata-azure-to-teradata-transfer.md +++ b/quickstarts/manage-data/dagster-teradata-azure-to-teradata-transfer.md @@ -9,7 +9,7 @@ keywords: [data warehouses, teradata, vantage, transfer, cloud data platform, ob import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import InstallTabs from '../_partials/tabsDBT.mdx' # Data Transfer from Azure Blob to Teradata Vantage Using dagster-teradata @@ -22,7 +22,7 @@ This document provides instructions and guidance for transferring data in CSV, J * Access to a Teradata Vantage instance. - + * Python **3.9** or higher, Python **3.12** is recommended. * pip diff --git a/quickstarts/manage-data/dagster-teradata-s3-to-teradata-transfer.md b/quickstarts/manage-data/dagster-teradata-s3-to-teradata-transfer.md index 8412f5e40c..24d177807b 100644 --- a/quickstarts/manage-data/dagster-teradata-s3-to-teradata-transfer.md +++ b/quickstarts/manage-data/dagster-teradata-s3-to-teradata-transfer.md @@ -9,7 +9,7 @@ keywords: [data warehouses, teradata, vantage, transfer, cloud data platform, ob import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import InstallTabs from '../_partials/tabsDBT.mdx' # Data Transfer from AWS S3 to Teradata Vantage Using dagster-teradata @@ -22,7 +22,7 @@ This document provides instructions and guidance for transferring data in CSV, J * Access to a Teradata Vantage instance. - + * Python **3.9** or higher, Python **3.12** is recommended. * pip diff --git a/quickstarts/manage-data/dbt.md b/quickstarts/manage-data/dbt.md index f861d87e5f..ee99598a2c 100644 --- a/quickstarts/manage-data/dbt.md +++ b/quickstarts/manage-data/dbt.md @@ -8,7 +8,7 @@ description: Use dbt (data build tool) with Teradata Vantage. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import InstallTabs from '../_partials/tabsDBT.mdx' import ProfileTabs from '../_partials/tabsDBTProfiles.mdx' @@ -23,7 +23,7 @@ This tutorial demonstrates how to use dbt (Data Build Tool) with Teradata Vantag * Access to a Teradata Vantage instance. - + * Python **3.7**, **3.8**, **3.9**, **3.10** or **3.11** installed. diff --git a/quickstarts/manage-data/execute-dbt-teradata-transformations-in-airflow-with-cosmos.md b/quickstarts/manage-data/execute-dbt-teradata-transformations-in-airflow-with-cosmos.md index c802cea272..94c9d8a92d 100644 --- a/quickstarts/manage-data/execute-dbt-teradata-transformations-in-airflow-with-cosmos.md +++ b/quickstarts/manage-data/execute-dbt-teradata-transformations-in-airflow-with-cosmos.md @@ -8,7 +8,7 @@ description: Execute dbt teradata transformation jobs in Apache Airflow using As keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, airflow, queries, dbt, cosmos, astronomer] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; @@ -26,7 +26,7 @@ Use [The Windows Subsystem for Linux (WSL)](https://learn.microsoft.com/en-us/wi ## Prerequisites * Access to a Teradata Vantage instance, version 17.10 or higher. - + * Python 3.8, 3.9, 3.10 or 3.11 and python3-env, python3-pip installed. diff --git a/quickstarts/manage-data/fastload.md b/quickstarts/manage-data/fastload.md index 6446b35dbf..62e3fa98d0 100644 --- a/quickstarts/manage-data/fastload.md +++ b/quickstarts/manage-data/fastload.md @@ -23,10 +23,10 @@ We often have a need to move large volumes of data into Vantage. Teradata offers ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance - + * Download Teradata Tools and Utilities (TTU) - supported platforms: [Windows](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package), [MacOS](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-macos-installation-package), [Linux](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-linux-installation-package-0) (requires registration). ## Install TTU diff --git a/quickstarts/manage-data/fivetran-userguide.md b/quickstarts/manage-data/fivetran-userguide.md index b3ebb4052c..b3ffe7f5b7 100644 --- a/quickstarts/manage-data/fivetran-userguide.md +++ b/quickstarts/manage-data/fivetran-userguide.md @@ -8,7 +8,7 @@ description: Use Fivetran with Teradata Vantage. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, fivetran.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Use Fivetran to load data from external sources to Teradata Vantage @@ -31,7 +31,7 @@ Make sure you: * Active [Fivetran Account](https://fivetran.com/login?_gl=1*9knhuy*_gcl_aw*R0NMLjE3NDM3NDI1MjguQ2p3S0NBanc0N2lfQmhCVEVpd0FhSmZQcHRGNDZmVVFqcnFaMGFiS0VpbVBkSUY3b3lQdTdicDdTZ1R2X3RHZTFGR253OFNYRnI0Nlp4b0MteXdRQXZEX0J3RQ..*_gcl_au*MTg1ODQxODI2LjE3MzgxMzM1Nzg.*_ga*MzM3MDk5MDc3LjE3MzgxMzM1Nzg.*_ga_NE72Z5F3GB*MTc0NDExMjU0MC4xOS4wLjE3NDQxMTI1NDAuNjAuMC4w*_ga_MD1R8Y04Z3*MTc0NDExMjU0MC40LjAuMTc0NDExMjU0MC42MC4wLjA) * Access to a Teradata Vantage instance. - + ### Setup Google Sheets Refer to the [Google Sheets Setup Guide](https://fivetran.com/docs/connectors/files/google-sheets/google-sheets-setup-guide) to configure sharing permissions and named ranges for data transfer using Fivetran. @@ -105,7 +105,7 @@ Once the sync is complete, connect to your `Teradata Vantage` instance using a c * Access to a Postgres Instance. * Access to a Teradata Vantage instance. - + ### Setup PostgreSQL Refer to the [Postgres Setup Guide](https://fivetran.com/docs/connectors/databases/postgresql/setup-guide) to configure postgres on Fivetran. @@ -182,7 +182,7 @@ Once the sync is complete, connect to your `Teradata Vantage` instance using a c * Access to Amazon S3. * Access to a Teradata Vantage instance. - + ### Setup Amazon S3 Refer to the [Amazon S3 Setup Guide](https://fivetran.com/docs/connectors/files/amazon-s3/setup-guide-new) to configure postgres on Fivetran. diff --git a/quickstarts/manage-data/getting-started-dbt-feast-teradata-pipeline.md b/quickstarts/manage-data/getting-started-dbt-feast-teradata-pipeline.md index 18543fe218..d6b72fefef 100644 --- a/quickstarts/manage-data/getting-started-dbt-feast-teradata-pipeline.md +++ b/quickstarts/manage-data/getting-started-dbt-feast-teradata-pipeline.md @@ -6,7 +6,7 @@ page_last_update: August 4th, 2023 description: dbt Feast integration with Teradata keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AI/ML, AI, ML, feature engineering, feature store, FEAST] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # Use dbt and FEAST to build a feature store in Teradata Vantage @@ -26,7 +26,7 @@ This tutorial shows an approach to creating a dbt pipeline that takes raw data a * Access to a Teradata Vantage database instance. - + * Feast-Teradata installed locally. See [Feast-Teradata installation instructions](using-feast-feature-store-with-teradata-vantage.md) diff --git a/quickstarts/manage-data/ingest-catalog-data-teradata-s3-with-glue.md b/quickstarts/manage-data/ingest-catalog-data-teradata-s3-with-glue.md index fa01cfa8de..63fe3a8bd3 100644 --- a/quickstarts/manage-data/ingest-catalog-data-teradata-s3-with-glue.md +++ b/quickstarts/manage-data/ingest-catalog-data-teradata-s3-with-glue.md @@ -19,11 +19,11 @@ For ingesting data to Amazon S3 when cataloging is not a requirement consider [T ### Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to an [Amazon AWS account](https://aws.amazon.com) * Access to a Teradata Vantage instance - + * A database [client](../connect-to-vantage/configure-a-teradata-vantage-connection-in-dbeaver.md) to send queries for loading the test data ### Loading of test data diff --git a/quickstarts/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md b/quickstarts/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md index 67f1bfc24c..04ff6ef86b 100644 --- a/quickstarts/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md +++ b/quickstarts/manage-data/integrate-teradata-vantage-to-salesforce-using-amazon-appflow.md @@ -44,10 +44,10 @@ You are expected to be familiar with Amazon AppFlow service and Teradata Vantage You will need the following accounts, and systems: -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage instance. - + * An AWS account with the role that can create and run flows. * An Amazon S3 bucket to store Salesforce data (i.e., ptctsoutput) * An Amazon S3 bucket to store raw Vantage data (Parquet file) (i.e., vantageparquet). This bucket needs to have policy to allow Amazon AppFlow access diff --git a/quickstarts/manage-data/nos.md b/quickstarts/manage-data/nos.md index bf2844fc8f..2987cc9216 100644 --- a/quickstarts/manage-data/nos.md +++ b/quickstarts/manage-data/nos.md @@ -8,7 +8,7 @@ description: Teradata Vantage Native Object Storage - read and write from/to obj keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' # Query data stored in object storage @@ -21,7 +21,7 @@ Native Object Storage (NOS) is a Vantage feature that allows you to query data s You need access to a Teradata Vantage instance. NOS is enabled in all Vantage editions from Vantage Express through Developer, DYI to Vantage as a Service starting from version 17.10. - + ## Explore data with NOS diff --git a/quickstarts/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md b/quickstarts/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md index 1b39d0c32d..22e64772a2 100644 --- a/quickstarts/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md +++ b/quickstarts/manage-data/run-bulkloads-efficiently-with-teradata-parallel-transporter.md @@ -9,7 +9,7 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud id: run-bulkloads-efficiently-with-teradata-parallel-transporter --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx'; +import TrialDocsNote from '../_partials/teradata_trial.mdx'; import Tabs from '../_partials/tabsTPT.mdx'; # Run large bulkloads efficiently with Teradata Parallel Transporter (TPT) @@ -21,7 +21,7 @@ We often have a need to move large volumes of data into Vantage. Teradata offers ## Prerequisites * Access to a Teradata Vantage instance. - + * Download Teradata Tools and Utilities (TTU) - supported platforms: [Windows](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-windows-installation-package), [MacOS](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-mac-osx-installation-package), [Linux](https://downloads.teradata.com/download/tools/teradata-tools-and-utilities-linux-installation-package-0) (requires registration). diff --git a/quickstarts/manage-data/segment.md b/quickstarts/manage-data/segment.md index 5862ae2cc8..b2f6abee0b 100644 --- a/quickstarts/manage-data/segment.md +++ b/quickstarts/manage-data/segment.md @@ -8,7 +8,7 @@ description: Store events from Twilio Segment in Teradata Vantage. keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, customer data platform, cdp, segment] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import CommunityLink from '../_partials/community_link.mdx' import tabsDBT from '../_partials/tabsDBT.mdx' @@ -30,7 +30,7 @@ In this solution, Twilio Segment writes raw event data to Google Cloud Pub/Sub. 2. `gcloud` installed. See https://cloud.google.com/sdk/docs/install. 3. A Teradata Vantage instance that Google Cloud Run can talk to. - + ### Build and deploy diff --git a/quickstarts/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md b/quickstarts/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md index 5190e10700..82c6197b36 100644 --- a/quickstarts/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md +++ b/quickstarts/manage-data/transforming-external-data-loaded-via-airbyte-in-teradata-vantage-using-dbt.md @@ -19,10 +19,10 @@ This tutorial is based on the original [dbt Jaffle Shop tutorial](https://github ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage Instance. - + * Sample data: The sample data [Jaffle Shop Dataset](https://docs.google.com/spreadsheets/d/1-R4F3q8J9KDnFRWpiT3Ysp1RlOoUu3PeQR7xDeLxFts/edit#gid=42273685) can be found in Google Sheets. * Reference dbt project repository: [Jaffle Project with Airbyte.](https://github.com/Teradata/airbyte-dbt-jaffle) * Python 3.7, 3.8, 3.9, 3.10 or 3.11 installed. diff --git a/quickstarts/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md b/quickstarts/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md index 722d6295e5..d41537425e 100644 --- a/quickstarts/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md +++ b/quickstarts/manage-data/use-airbyte-to-load-data-from-external-sources-to-teradata-vantage.md @@ -23,10 +23,10 @@ This tutorial showcases how to use Airbyte to move data from sources to Teradata ## Prerequisites -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' * Access to a Teradata Vantage Instance. This will be defined as the destination of the Airbyte connection. You will need a database `Host`, `Username`, and `Password` for Airbyte’s configuration. - + * [Google Cloud Platform API enabled for your personal or organizational account](https://support.google.com/googleapi/answer/6158841?hl=en). You’ll need to authenticate your Google account via OAuth or via Service Account Key Authenticator. In this example, we use Service Account Key Authenticator. diff --git a/quickstarts/manage-data/use-dagster-with-teradata-vantage.md b/quickstarts/manage-data/use-dagster-with-teradata-vantage.md index 9698a5999a..f813fa2b1d 100644 --- a/quickstarts/manage-data/use-dagster-with-teradata-vantage.md +++ b/quickstarts/manage-data/use-dagster-with-teradata-vantage.md @@ -7,7 +7,7 @@ description: Use dagster-teradata with Teradata Vantage. keywords: [dagster, dagster-teradata, data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' import InstallTabs from '../_partials/tabsDBT.mdx' # dagster-teradata with Teradata Vantage @@ -26,7 +26,7 @@ This guide walks you through integrating Dagster with Teradata Vantage to create * Access to a Teradata Vantage instance. - + * Python **3.9** or higher, Python **3.12** is recommended. * pip diff --git a/quickstarts/manage-data/use-dbt-cloud-with-teradata-vantage.md b/quickstarts/manage-data/use-dbt-cloud-with-teradata-vantage.md index b25505e088..56bca7a702 100644 --- a/quickstarts/manage-data/use-dbt-cloud-with-teradata-vantage.md +++ b/quickstarts/manage-data/use-dbt-cloud-with-teradata-vantage.md @@ -7,7 +7,7 @@ description: Use dbt Cloud (data build tool) with Teradata Vantage. keywords: [dbt Cloud, data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, elt, dbt.] --- -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' # dbt Cloud with Teradata Vantage @@ -18,7 +18,7 @@ This tutorial demonstrates how to use dbt Cloud with Teradata Vantage. It's base * You have a [dbt Cloud account](https://www.getdbt.com/signup/). * Access to a Teradata Vantage instance. - + ### About the Jaffle Shop warehouse diff --git a/quickstarts/manage-data/using-feast-feature-store-with-teradata-vantage.md b/quickstarts/manage-data/using-feast-feature-store-with-teradata-vantage.md index 3f9414cf47..5081e06f7c 100644 --- a/quickstarts/manage-data/using-feast-feature-store-with-teradata-vantage.md +++ b/quickstarts/manage-data/using-feast-feature-store-with-teradata-vantage.md @@ -17,9 +17,9 @@ Feast's connector for Teradata is a complete implementation with support for all Access to a Teradata Vantage instance. -import ClearscapeDocsNote from '../_partials/teradata_trial.mdx' +import TrialDocsNote from '../_partials/teradata_trial.mdx' - + ## Overview