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Adding note about limited public preview
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docs/big-data-cluster/big-data-cluster-overview.md

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Staring with [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)], SQL Big Data Clusters allows you to deploy scalable clusters of SQL Server containers on Kubernetes. These containers are then used to read, write, and process big data from Transact-SQL, allowing you to easily combine and analyze your high-value relational data with high-volume big data.
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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## Scenarios
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SQL Big Data Clusters provides flexibility in how you interact with your big data. You can query external data sources, store big data in HDFS managed by SQL Server, or pull data from multiple data sources into the cluster. You can then use the data for AI, Machine Learning, and other analysis tasks. The following sections provide more information about these scenarios.

docs/big-data-cluster/deploy-big-data-tools.md

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title: Install big data tools for SQL Server 2019 CTP 2.0 | Microsoft Docs
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title: Install big data tools for SQL Server 2019 preview | Microsoft Docs
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description:
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author: rothja
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ms.author: jroth
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# Install big data tools for SQL Server 2019 CTP 2.0
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# Install big data tools for SQL Server 2019 preview
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This article describes how to install big data tools for SQL Server 2019 CTP 2.0.
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## Install [!INCLUDE [SQL Operations Studio](../includes/name-sos-short.md)]
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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1. Download the version of [!INCLUDE [SQL Operations Studio](../includes/name-sos-short.md)] for your OS from [https://github.com/Microsoft/sqlservervnext/releases/tag/v0.1.8](https://github.com/Microsoft/sqlservervnext/releases/tag/v0.1.8).
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## Install [!INCLUDE [Azure Data Studio](../includes/name-sos-short.md)]
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1. Download the version of [!INCLUDE [Azure Data Studio](../includes/name-sos-short.md)] for your OS from [https://github.com/Microsoft/sqlservervnext/releases/tag/v0.1.8](https://github.com/Microsoft/sqlservervnext/releases/tag/v0.1.8).
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1. Unzip the file and run the application. We recommend using 7zip on Windows.
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## Install the SQL Server scale-out data management extension
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1. Download the extension from [https://github.com/Microsoft/sqlservervnext/releases/tag/v0.1.8](https://github.com/Microsoft/sqlservervnext/releases/tag/v0.1.8).
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1. In [!INCLUDE [SQL Operations Studio](../includes/name-sos-short.md)] press F1 to open the action bar and type "Extensions: Install from VSIX", and then press enter to select this action.
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1. In [!INCLUDE [Azure Data Studio](../includes/name-sos-short.md)] press F1 to open the action bar and type "Extensions: Install from VSIX", and then press enter to select this action.
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1. Choose the VSIX file you just downloaded and click **Install**.
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1. You will be prompted to reload [!INCLUDE [SQL Operations Studio](../includes/name-sos-short.md)] – click the **Reload** button as requested.
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1. You will be prompted to reload [!INCLUDE [Azure Data Studio](../includes/name-sos-short.md)] – click the **Reload** button as requested.
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## Connect to the cluster
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In [!INCLUDE [SQL Operations Studio](../includes/name-sos-short.md)], press F1 -> New Connection. You can now connect to your SQL Server (Example: **\<IP Address\>,31433**). Connect to the **high_value_data** database.
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In [!INCLUDE [Azure Data Studio](../includes/name-sos-short.md)], press F1 -> New Connection. You can now connect to your SQL Server (Example: **\<IP Address\>,31433**). Connect to the **high_value_data** database.
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![Connect to cluster](./media/deploy-big-data-tools/connect-to-cluster.png)
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docs/big-data-cluster/deployment-guidance.md

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- Install the cluster configuration tool `mssqlctl` on your client machine
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- Deploy SQL Server Big Data cluster in a Kubernetes cluster
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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## Kubernetes prerequisistes
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SQL Server Big Data cluster requires a minimum v1.10 version for Kubernetes, for both server and client. To install a specific version on kubectl client, see [Install kubectl binary via curl](https://kubernetes.io/docs/tasks/tools/install-kubectl/#install-kubectl). Latest versions of minikube and AKS are at least 1.10. For AKS you will need to use `--kubernetes-version` parameter to specify a version different than default.
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If you want to customize your Aris configuration, according to your workload needs, follow the next set of instructions.
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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## Verify kubernetes configuration
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Execute the below kubectl command to view the cluster configuration. Ensure that kubectl is pointed to the correct cluster context.

docs/big-data-cluster/quickstart-big-data-cluster-deploy.md

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In this quickstart, you will install SQL Server Big Data Cluster on Kubernetes in a default configuration suitable for dev/test environments. Here is the list of environment variables and their default values you can update to customize your cluster configuration:
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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## Prerequisites
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docs/big-data-cluster/quickstart-big-data-cluster-get-started.md

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In this quickstart, you will combine high-volume HDFS data with high-value relational data using SQL Server 2019 CTP 2.0 running on Kubernetes.
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[!INCLUDE [Limited public preview note](../includes/big-data-cluster-preview-note.md)]
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## Prerequisites
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This quickstart requires a running SQL Server Big Data Cluster cluster. For instructions, see the following article:
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> [!NOTE]
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> SQL Big Data Clusters is first available as a limited public preview. To request access to the components for CTP 2.0, register here (TBD: LINK NEEDED).

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