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@@ -194,9 +194,9 @@ To delete an app, just click the Trash can button next to the app in the `Deploy
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## Next steps
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Explore how to integrate apps deployed on SQL Server bigdataclusters in your own applications at [Consume applications on big data clusters](big-data-cluster-consume-apps.md) for more information. You can also refer to the additional samples at [App Deploy Samples](https://aka.ms/sql-app-deploy) to try with the extension.
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Explore how to integrate apps deployed on [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] in your own applications at [Consume applications on big data clusters](big-data-cluster-consume-apps.md) for more information. You can also refer to the additional samples at [App Deploy Samples](https://aka.ms/sql-app-deploy) to try with the extension.
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For more information about SQL Server bigdataclusters, see [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md).
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For more information about [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md).
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Our goal is to make this extension useful for you and we appreciate you feedback. Please send them to [[!INCLUDE[ssNoVersion](../includes/ssnoversion-md.md)] team](https://aka.ms/sqlfeedback).
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You can also check out additional samples at [App Deploy Samples](https://aka.ms/sql-app-deploy).
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For more information about SQL Server bigdataclusters, see [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md).
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For more information about [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md).
Explore how to integrate apps deployed on SQL Server bigdataclusters in your own applications at [Consume applications on big data clusters](big-data-cluster-consume-apps.md) for more information. You can also check out additional samples at [App Deploy Samples](https://aka.ms/sql-app-deploy).
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Explore how to integrate apps deployed on [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] in your own applications at [Consume applications on big data clusters](big-data-cluster-consume-apps.md) for more information. You can also check out additional samples at [App Deploy Samples](https://aka.ms/sql-app-deploy).
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For more information about SQL Server bigdataclusters, see [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md).
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For more information about [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md).
Starting with [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)], SQL Server bigdataclusters 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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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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For more information about new features and known issues for latest release, see the [release notes](release-notes-big-data-cluster.md).
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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 Server bigdataclusters provide 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 query data from multiple external data sources through 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.
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[!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] provide 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 query data from multiple external data sources through 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.
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### Data virtualization
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By leveraging [SQL Server PolyBase](../relational-databases/polybase/polybase-guide.md), SQL Server bigdataclusters can query external data sources without moving or copying the data. [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)] introduces new connectors to data sources.
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By leveraging [SQL Server PolyBase](../relational-databases/polybase/polybase-guide.md), [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] can query external data sources without moving or copying the data. [!INCLUDE[SQL Server 2019](../includes/sssqlv15-md.md)] introduces new connectors to data sources.
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### Scale-out data mart
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SQL Server bigdataclusters provide scale-out compute and storage to improve the performance of analyzing any data. Data from a variety of sources can be ingested and distributed across *data pool* nodes as a cache for further analysis.
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[!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] provide scale-out compute and storage to improve the performance of analyzing any data. Data from a variety of sources can be ingested and distributed across *data pool* nodes as a cache for further analysis.
SQL Server bigdataclusters enable AI and machine learning tasks on the data stored in HDFS storage pools and the data pools. You can use Spark as well as built-in AI tools in SQL Server, using R, Python, Scala, or Java.
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[!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] enable AI and machine learning tasks on the data stored in HDFS storage pools and the data pools. You can use Spark as well as built-in AI tools in SQL Server, using R, Python, Scala, or Java.
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|**Pod**| A pod is the atomic deployment unit of Kubernetes. A pod is a logical group of one or more containers-and associated resources-needed to run an application. Each pod runs on a node; a node can run one or more pods. The Kubernetes master automatically assigns pods to nodes in the cluster. |
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In SQL Server bigdataclusters, Kubernetes is responsible for the state of the SQL Server bigdataclusters; Kubernetes builds and configures the cluster nodes, assigns pods to nodes, and monitors the health of the cluster.
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In [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], Kubernetes is responsible for the state of the [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]; Kubernetes builds and configures the cluster nodes, assigns pods to nodes, and monitors the health of the cluster.
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### Big data clusters architecture
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The storage pool consists of storage pool pods comprised of SQL Server on Linux, Spark, and HDFS. All the storage nodes in a SQL Server big data cluster are members of an HDFS cluster.
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> [!TIP]
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> For an in-depth look into big data cluster architecture and installation, see [Workshop: Microsoft SQL Server bigdataclusters Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters).
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> For an in-depth look into big data cluster architecture and installation, see [Workshop: Microsoft [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters).
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## Next steps
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SQL Server bigdataclusters is first available as a limited public preview through the SQL Server 2019
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[!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] is first available as a limited public preview through the SQL Server 2019
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Early Adoption Program. To request access, register [here](https://aka.ms/eapsignup), and specify your interest to try big data clusters. Microsoft will triage all requests and respond as soon as possible.
For more information about big data clusters, see [What are SQL Server bigdataclusters](big-data-cluster-overview.md).
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For more information about big data clusters, see [What are [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]](big-data-cluster-overview.md).
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## Next steps
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To learn more about how to create and run applications on SQL Server bigdataclusters, see the following:
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To learn more about how to create and run applications on [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see the following:
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- [Deploy applications using azdata](big-data-cluster-create-apps.md)
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- [Deploy applications using the App Deploy extension](app-deployment-extension.md)
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- [Consume applications on big data clusters](big-data-cluster-consume-apps.md)
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To learn more about the SQL Server bigdataclusters, see the following overview:
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To learn more about the [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see the following overview:
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- [What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md)
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## Next steps
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To learn more about the SQL Server bigdataclusters, see the following resources:
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To learn more about the [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see the following resources:
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-[What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md)
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-[Workshop: Microsoft SQL Server bigdataclusters Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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-[Workshop: Microsoft [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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## Deploying the controller service
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The controller is deployed and hosted in the same Kubernetes namespace where the customer wants to build out a big data cluster. This service is installed by a Kubernetes administrator during cluster bootstrap, using the **azdata** command-line utility. For more information, see [Get started with SQL Server bigdataclusters](deploy-get-started.md).
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The controller is deployed and hosted in the same Kubernetes namespace where the customer wants to build out a big data cluster. This service is installed by a Kubernetes administrator during cluster bootstrap, using the **azdata** command-line utility. For more information, see [Get started with [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]](deploy-get-started.md).
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The buildout workflow will layout on top of Kubernetes a fully functional SQL Server big data cluster that includes all the components described in the [Overview](big-data-cluster-overview.md) article. The bootstrap workflow first creates the controller service, and once this is deployed, the controller service will coordinate the installation and configuration of rest of the services part of master, compute, data, and storage pools.
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## Managing the cluster through the controller service
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You can manage the cluster through the controller service using either **azdata** commands. If you deploy additional Kubernetes objects like pods into the same namespace, they are not managed or monitored by the controller service. You can also use **kubectl** commands to manage the cluster at the Kubernetes level. For more information, see [Monitoring and troubleshoot SQL Server bigdataclusters](cluster-troubleshooting-commands.md).
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You can manage the cluster through the controller service using either **azdata** commands. If you deploy additional Kubernetes objects like pods into the same namespace, they are not managed or monitored by the controller service. You can also use **kubectl** commands to manage the cluster at the Kubernetes level. For more information, see [Monitoring and troubleshoot [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)]](cluster-troubleshooting-commands.md).
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The controller and the Kubernetes objects (stateful sets, pods, secrets, etc.) created for a big data cluster reside in a dedicated Kubernetes namespace. The controller service will be granted permission by the Kubernetes cluster administrator to manage all resources within that namespace. The RBAC policy for this scenario is configured automatically as part of initial cluster deployment using **azdata**.
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## Next steps
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To learn more about the SQL Server bigdataclusters, see the following resources:
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To learn more about the [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see the following resources:
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-[What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md)
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-[Workshop: Microsoft SQL Server bigdataclusters Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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-[Workshop: Microsoft [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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## Next steps
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To learn more about the SQL Server bigdataclusters, see the following resources:
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To learn more about the [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see the following resources:
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-[What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md)
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-[Workshop: Microsoft SQL Server bigdataclusters Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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-[Workshop: Microsoft [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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## Next steps
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To learn more about the SQL Server bigdataclusters, see the following resources:
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To learn more about the [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)], see the following resources:
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-[What are SQL Server 2019 big data clusters?](big-data-cluster-overview.md)
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-[Workshop: Microsoft SQL Server bigdataclusters Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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-[Workshop: Microsoft [!INCLUDE[big-data-clusters-2019](../includes/ssbigdataclusters-ss-nover.md)] Architecture](https://github.com/Microsoft/sqlworkshops/tree/master/sqlserver2019bigdataclusters)
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