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title titleSuffix description author ms.author ms.reviewer ms.date ms.service ms.subservice ms.topic ms.custom
Administration resources for Big Data Clusters
SQL Server
Learn how to view the status of a big data cluster by using Azure Data Studio, notebooks, and Azure Data CLI azdata commands.
HugoMSFT
hudequei
wiassaf
12/04/2023
sql
big-data-cluster
how-to
kr2b-contr-experiment

Administration resources for SQL Server 2019 Big Data Clusters

[!INCLUDE SQL Server 2019]

[!INCLUDE big-data-clusters-banner-retirement]

This article explains how to view the status of a big data cluster by using Azure Data Studio, notebooks, and Azure Data CLI azdata commands.

Know your architecture

Starting with SQL Server 2019 (15.x), [!INCLUDE big-data-clusters-2019] allow you to deploy scalable clusters of SQL Server, Spark, and HDFS containers that run on Kubernetes. For an overview, see What are SQL Server Big Data Clusters?

[!INCLUDE big-data-clusters-2019] provide coherent and consistent authorization and authentication. For an overview of Big Data Cluster security, see [Security concepts for [!INCLUDE big-data-clusters-2019]](concept-security.md).

Manage and operate with tools

The following articles describe how to manage and operate Big Data Clusters:

Monitor with tools

The following articles describe how to monitor Big Data Clusters:

Important

The Internet Explorer browser and older Microsoft Edge browsers aren't compatible with Grafana or Kibana. Consider the Chromium-based Microsoft Edge, or see supported browsers for Grafana or supported browsers for Kibana.

Monitor and inspect logs by using notebooks

The following articles list many of the Jupyter Notebooks that are available in Azure Data Studio:

Where to find [!INCLUDE big-data-clusters-2019] administration notebooks

[!INCLUDE big-data-clusters-2019] provide a comprehensive administration experience by using Jupyter Notebooks. The provided notebooks cover cluster operations, management, monitoring, logging, and troubleshooting.

  1. To add the operational notebook repository from GitHub to Azure Data Studio, you can use keyboard shortcut Ctrl+Shift+P or select View, and then Command Palette. Select Add Remote Book.

  2. In the Add Remote Book dialog box, select the desired latest version for operational notebooks. Select Add, as shown below:

    :::image type="content" source="media/view-cluster-status/bdc-ads-palette.png" alt-text="Screenshot that shows the Azure Data Studio palette.":::

  3. Select Jupyter Books: Add Remote Book. A window opens that allows you to select a notebook.

    [!NOTE] Make sure you select the correct notebook version. It should match the cumulative update version of your big data cluster.

  4. Select the version of the notebooks base on the cumulative update of your big data cluster:

    :::image type="content" source="media/view-cluster-status/bdc-remote-guides.png" alt-text="Screenshot that shows how to add a remote notebook.":::

  5. When you select Add, you gain access to all the notebooks for your chosen version on the Notebooks tab of Azure Data Studio:

    :::image type="content" source="media/view-cluster-status/bdc-ads-guides.png" alt-text="Screenshot that shows the notebooks for a specific version.":::

How to use these notebooks

To learn how to use the notebooks, see these articles:

Big Data Clusters troubleshooting resources

The following articles describe how to troubleshoot Big Data Clusters:

The following articles describe how to troubleshoot big data clusters deployed in Active Directory mode:

Next step

[!div class="nextstepaction"] Manage SQL Server Big Data Clusters with Azure Data Studio notebooks