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2 changes: 1 addition & 1 deletion quickstarts/_partials/getting-started-intro.mdx
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import UseCase from './use-csae.mdx';
import UseCase from './use-trials.mdx';

<UseCase />
## Overview
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:::note
This how-to shows you how to add Teradata Extensions to a Jupyter Notebooks environment. A hosted version of Jupyter Notebooks integrated with Teradata Extensions and analytics tools is available for functional testing for free at https://clearscape.teradata.com.
This how-to shows you how to add Teradata Extensions to a Jupyter Notebooks environment. A hosted version of Jupyter Notebooks integrated with Teradata Extensions and analytics tools is available for functional testing for free at [https://www.teradata.com/try](https://www.teradata.com/try).
:::
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:::note
You can now get a hosted instance of Vantage for free at [https://clearscape.teradata.com](https://clearscape.teradata.com/).
You can now get a hosted instance of Vantage for free at [https://www.teradata.com/try](https://www.teradata.com/try).
:::
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Expand Up @@ -7,12 +7,12 @@ 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 TrialDocsNote from '../_partials/teradata_trial.mdx'
import JupyterClearscapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx';
import JupyterTrialsNote from '../_partials/jupyter_notebook_trials_note.mdx';

# Integrate Teradata Jupyter extensions with Google Vertex AI


<JupyterClearscapeNote />
<JupyterTrialsNote />

## Overview
Teradata Jupyter extensions provide Teradata SQL kernel and several UI extensions to allow users to easily access and navigate Teradata database from Jupyter envioronment. Google Vertex AI is Google Cloud's new unified ML platform. Vertex AI Workbench provides a Jupyter-base development environment for the entire data science workflow. This article describes how to integate our Jupyter extensions with Vertex AI Workbench so that Vertex AI users can take advantage of our Teradata extensions in their ML pipeline.
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Expand Up @@ -8,12 +8,12 @@ keywords: [data warehouses, compute storage separation, teradata, vantage, cloud
---

import TrialDocsNote from '../_partials/teradata_trial.mdx'
import JupyterClearScapeNote from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx';
import JupyterTrialsNote from '../_partials/jupyter_notebook_trials_note.mdx';

# Integrate Teradata Jupyter extensions with SageMaker notebook instance


<JupyterClearScapeNote />
<JupyterTrialsNote />

### Overview
Teradata Jupyter extensions provide Teradata SQL kernel and several UI extensions to allow users to easily asccess and navigate Teradata database from Jupyter envioronment. This article describes how to integate our Jupyter extensions with SageMaker notebook instance.
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4 changes: 2 additions & 2 deletions quickstarts/analyze-data/jupyter.md
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Expand Up @@ -9,13 +9,13 @@ description: Use Teradata Vantage from a Jupyter notebook
keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, JDBC, java applications, business intelligence, enterprise analytics, jupyter, teradatasql, ipython-sql, teradatasqlalchemy]
---

import ClearscapeJyupiter from '../_partials/jupyter_notebook_clearscape_analytics_note.mdx'
import JupyterTrialsNote from '../_partials/jupyter_notebook_trials_note.mdx';
import TrialDocsNote from '../_partials/teradata_trial.mdx'
import CommunityLink from '../_partials/community_link.mdx'

# Use Vantage from a Jupyter notebook

<ClearscapeJyupiter />
<JupyterTrialsNote />

## Overview
In this how-to we will go through the steps for connecting to Teradata Vantage from a Jupyter notebook.
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Expand Up @@ -7,7 +7,7 @@ description: Run Vantage Express on AWS.
keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics, AWS]
---

import UseCase from '../../_partials/use-csae.mdx';
import UseCase from '../../_partials/use-trials.mdx';
import CommunityLink from '../../_partials/community_link.mdx';
import InstallVeInPublic from '../../_partials/install-ve-in-public.mdx';

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Expand Up @@ -7,7 +7,7 @@ description: Run Vantage Express on Microsoft Azure.
keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics]
---

import UseCase from '../../_partials/use-csae.mdx';
import UseCase from '../../_partials/use-trials.mdx';
import Tabs from '../../_partials/tabsAzure.mdx';
import InstallVeInPublic from '../../_partials/install-ve-in-public.mdx';
import CommunityLink from '../../_partials/community_link.mdx';
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Expand Up @@ -7,7 +7,7 @@ description: Run Vantage Express on Google Cloud.
keywords: [data warehouses, compute storage separation, teradata, vantage, cloud data platform, object storage, business intelligence, enterprise analytics]
---

import UseCase from '../../_partials/use-csae.mdx';
import UseCase from '../../_partials/use-trials.mdx';
import CommunityLink from '../../_partials/community_link.mdx';
import InstallVeInPublic from '../../_partials/install-ve-in-public.mdx';
import Tabs from '../../_partials/tabsGCP.mdx';
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Expand Up @@ -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, parquet, create parquet files]
---

import UseCase from '../_partials/use-csae.mdx';
import UseCase from '../_partials/use-trials.mdx';
import CommunityLink from '../_partials/community_link.mdx';

# Create Parquet files in object storage
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