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docs/azure-data-studio/notebooks-guidance.md

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# Notebooks with SQL Server in Azure Data Studio
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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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[!INCLUDE[SQL Server 2019](../includes/applies-to-version/sqlserver2019.md)]
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Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text. Usage includes data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning.
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docs/azure-data-studio/notebooks-manage-sql-server.md

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# How to manage notebooks in Azure Data Studio
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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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[!INCLUDE[SQL Server 2019](../includes/applies-to-version/sqlserver2019.md)]
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This article shows you how to open and save notebook files in Azure Data Studio. It also demonstrates how to change your connection to your SQL Server or Python kernel.
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docs/azure-data-studio/notebooks-tutorial-python-kernel.md

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# Create and run a Python notebook
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This tutorial demonstrates how to create and run a notebook in Azure Data Studio using the Python kernel.
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docs/azure-data-studio/notebooks-tutorial-sql-kernel.md

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# Create and run a SQL Server notebook
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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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This tutorial demonstrates how to create and run a notebook in Azure Data Studio using SQL Server.
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docs/big-data-cluster/active-directory-deployment-background.md

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# Deploy multiple [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] in the same Active Directory domain
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[!INCLUDE[tsql-appliesto-ssver15-xxxx-xxxx-xxx](../includes/tsql-appliesto-ssver15-xxxx-xxxx-xxx.md)]
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This article explains the updates to SQL server 2019 CU 5 that enable de capability for multiple SQL Server 2019 Big Data Clusters to be deployed and integrated with the same Active Directory Domain.
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docs/big-data-cluster/app-deployment-extension.md

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# How to use Visual Studio Code to deploy applications to [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]
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[!INCLUDE[SQL Server 2019](../includes/applies-to-version/sqlserver2019.md)]
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This article describes how to deploy applications to a SQL Server big data cluster using Microsoft Visual Studio Code with the App Deployment extension.
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docs/big-data-cluster/big-data-cluster-consume-apps.md

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# Consume an app deployed on [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] using a RESTful web service
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This article describes how to consume an app deployed on a SQL Server big data cluster using a RESTful web service.
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docs/big-data-cluster/big-data-cluster-create-apps.md

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# How to deploy an app on [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]
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This article describes how to deploy and manage R and Python script as an application inside a SQL Server 2019 big data cluster.
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docs/big-data-cluster/big-data-cluster-overview.md

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# What are [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]?
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Starting with [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)], [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] allow you to deploy scalable clusters of SQL Server, Spark, and HDFS containers running on Kubernetes. These components are running side by side to enable you to read, write, and process big data from Transact-SQL or Spark, allowing you to easily combine and analyze your high-value relational data with high-volume big data.
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docs/big-data-cluster/change-azdata-password.md

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# Manually update `AZDATA_PASSWORD`
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Whether or not the cluster is operating with Active Directory integration, `AZDATA_PASSWORD` is set during deployment. It provides a basic authentication to the cluster controller and master instance. This document describes how to manually update `AZDATA_PASSWORD`.
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