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1. • • By enabling the native Kusto (KQL) experience in Azure Data Studio, data engineers, data scientists, and data analysts can quickly observe trends and anomalies against massive amounts of data stored in Azure Data Explorer.
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     Kusto (KQL) extension for Azure Data Studio - Azure Data ...

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   What is Kusto (KQL) for Azure Data Studio?

   • The Kusto (KQL) extension for Azure Data Studio enables you to connect and query to Azure Data Explorer clusters. Users can write and run KQL queries and author notebooks with the Kusto kernel complete with IntelliSense.

   Kusto (KQL) extension for Azure Data Studio - Azure Data Studio

   learn.microsoft.com/en-us/sql/azure-data-studio/extensions/kusto-extension?view=sql-server-ver16

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   What is KQL in Azure Data Studio?

   • Azure Data Studio – a cross-platform client tool with hybrid and poly cloud capabilities - now brings KQL experiences for modern data professionals. In this episode with Julie Koesmarno, she will show KQL magic in Notebooks and the native KQL experiences – all in Azure Data Studio.

   Using Kusto Query Language (KQL) in Azure Data Studio | Data Exposed

   techcommunity.microsoft.com/t5/azure-sql-blog/using-kusto-query-language-kql-in-azure-data-studio-data-exposed/ba-p/1892197

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   What is KQL & IntelliSense in Azure Data Studio?

   • Users can write and run KQL queries and author notebooks with the Kusto kernel complete with IntelliSense. By enabling the native Kusto (KQL) experience in Azure Data Studio, data engineers, data scientists, and data analysts can quickly observe trends and anomalies against massive amounts of data stored in Azure Data Explorer.

   Kusto (KQL) extension for Azure Data Studio (Preview)

   learn.microsoft.com/en-us/azure-data-studio/extensions/kusto-extension

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   What is Azure Data Explorer and Kusto querying language (KQL)?

   • What is Azure Data Explorer and Kusto Querying Language (KQL)? Azure Data Explorer (ADE) put simply is a platform to analyse large amounts of data quickly and to scale up your efforts in minutes to accommodate any discoveries in relevant data insights.

   What is Azure Data Explorer and Kusto Querying Language (KQL)?

   adatis.co.uk/what-is-azure-data-explorer-and-kusto-querying-language-kql/

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   How to use sanddance with Kusto (KQL) extension in Azure Data Studio?

   • The SandDance extension with the Kusto (KQL) extension in Azure Data Studio bring rich interactive visualization together. From the KQL query result set, select the Visualizer button to launch SandDance. Create a new connection from Connection Viewlet and save it with an alias. Then create a new notebook and connect to the newly saved connection)

   Kusto (KQL) extension for Azure Data Studio (Preview)

   learn.microsoft.com/en-us/azure-data-studio/extensions/kusto-extension

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   How do I create a KQL query in Azure Data Explorer?

   • To create a new query tab, you can either select File > New Query, use Ctrl + N, or right-click the database and select New Query. Once you have your new query tab open, then enter your Kusto query. Here are some samples of KQL queries: For more information about writing KQL queries, visit Write queries for Azure Data Explorer

   Kusto (KQL) extension for Azure Data Studio (Preview)

   learn.microsoft.com/en-us/azure-data-studio/extensions/kusto-extension

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3. learn.microsoft.com › en-us › azure-data-studioKusto (KQL) extension for Azure Data Studio - Azure Data ...

   learn.microsoft.com › en-us › azure-data-studio

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   Oct 11, 2023 · The Kusto (KQL) extension for Azure Data Studio enables you to connect and query to Azure Data Explorer clusters. Users can write and run KQL queries and author notebooks with the Kusto kernel complete with IntelliSense.

4. www.microsoft.com › en-us › sql-serverAnalyze data in Azure Data Explorer using Kusto Query ...

   www.microsoft.com › en-us › sql-server

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   Sep 24, 2020 · By enabling native Kusto (KQL) experiences in Azure Data Studio, users such as data engineers, data scientists, or data analysts can now quickly discover insights as well as identify trends and anomalies against a massive amount of data stored in Azure Data Explorer.

5. techcommunity.microsoft.com › t5 › azure-sql-blogUsing Kusto Query Language (KQL) in Azure Data Studio | Data ...

   techcommunity.microsoft.com › t5 › azure-sql-blog

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   Nov 17, 2020 · In this episode with Julie Koesmarno, she will show KQL magic in Notebooks and the native KQL experiences – all in Azure Data Studio. You'll also learn more about the use cases for KQL experiences in Azure Data Studio and our roadmap.

6. learn.microsoft.com › en-us › azure-data-studioNotebooks with Kqlmagic (Kusto Query Language) in Azure Data ...

   learn.microsoft.com › en-us › azure-data-studio

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   Kqlmagic is a command that extends the capabilities of the Python kernel in Azure Data Studio notebooks. You can combine Python and Kusto query language (KQL) to query and visualize data using rich Plotly library integrated with render commands.

7. www.youtube.com › watchUsing Kusto Query Language (KQL) in Azure Data Studio - YouTube

   www.youtube.com › watch

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   Nov 17, 2020 · In this episode with Julie Koesmarno, she will show KQL magic in Notebooks and the native KQL experiences – all in Azure Data Studio. You'll also learn more about the use cases for KQL ...

   • Video Duration: 12 min
   • Views: 5.4K

   • Author: Microsoft Developer

8. www.franksworld.com › 2020/11/18 › using-kusto-queryUsing Kusto Query Language (KQL) in Azure Data Studio

   www.franksworld.com › 2020/11/18 › using-kusto-query

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   Nov 18, 2020 · Azure Data Studio is a cross-platform client tool with hybrid and poly cloud capabilities – now brings KQL experiences for modern data professionals. In this episode, Julie Koesmarno shows KQL magic in Notebooks and the native KQL experiences – all in Azure Data Studio.

9. martincatherall.com › azure-data-explorer-usingUsing KQL Magic inside Azure Data Studio - SQLServerCentral

   martincatherall.com › azure-data-explorer-using

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   Azure Data Explorer – Using KQL Magic inside Azure Data Studio. One of my previous blogs looked at using the free resources that Microsoft provides to link to an Azure Data Explorer Cluster and start using Kusto Query Language.