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    <title>topic Re: How to consume Fabric Datawarehouse inside a Databricks notebook in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105640#M42221</link>
    <description>&lt;P&gt;I will look into this, I was checking on Lakehouse Federation options but seems that Fabric is not included as supported database system&lt;/P&gt;</description>
    <pubDate>Tue, 14 Jan 2025 19:26:49 GMT</pubDate>
    <dc:creator>Walter_C</dc:creator>
    <dc:date>2025-01-14T19:26:49Z</dc:date>
    <item>
      <title>How to consume Fabric Datawarehouse inside a Databricks notebook</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105639#M42220</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I'm having a hard time figuring out (and finding the right&amp;nbsp; documentation) to be able to connect my databricks notebook to consume tables from a fabric datawarehouse.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I've checked &lt;A href="https://learn.microsoft.com/en-us/fabric/onelake/onelake-azure-databricks" target="_self"&gt;this&lt;/A&gt;, but seems to work only with onelake and &lt;A href="https://learn.microsoft.com/en-us/fabric/data-warehouse/connectivity#authentication-to-warehouses-in-fabric" target="_self"&gt;this&lt;/A&gt;, but I'm not seeing how to use the JDBC/ODB driver to use the Entra authenticator.&lt;/P&gt;&lt;P&gt;Any hint into what I should be looking at?&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;</description>
      <pubDate>Tue, 14 Jan 2025 19:09:56 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105639#M42220</guid>
      <dc:creator>javiomotero</dc:creator>
      <dc:date>2025-01-14T19:09:56Z</dc:date>
    </item>
    <item>
      <title>Re: How to consume Fabric Datawarehouse inside a Databricks notebook</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105640#M42221</link>
      <description>&lt;P&gt;I will look into this, I was checking on Lakehouse Federation options but seems that Fabric is not included as supported database system&lt;/P&gt;</description>
      <pubDate>Tue, 14 Jan 2025 19:26:49 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105640#M42221</guid>
      <dc:creator>Walter_C</dc:creator>
      <dc:date>2025-01-14T19:26:49Z</dc:date>
    </item>
    <item>
      <title>Re: How to consume Fabric Datawarehouse inside a Databricks notebook</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105643#M42223</link>
      <description>&lt;P&gt;Our team has confirmed that it is not recommended to make this direct connection, as of now the recommended solution is&lt;SPAN&gt;&amp;nbsp;to use ADF or FDF to copy that data out into ADLS and then govern that ADLS with UC&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 14 Jan 2025 19:47:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/105643#M42223</guid>
      <dc:creator>Walter_C</dc:creator>
      <dc:date>2025-01-14T19:47:43Z</dc:date>
    </item>
    <item>
      <title>Re: How to consume Fabric Datawarehouse inside a Databricks notebook</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/107053#M42690</link>
      <description>&lt;P&gt;Hi, thank you. There was some issues with my permissions (apparently to the Dataverse resource, not the Datalake) and that is why I was not able to query successfully using abfss. Just for the future, I was able to query directly the Datalake (not the endpoint) using&lt;/P&gt;&lt;LI-CODE lang="markup"&gt;spark.read.format('delta').load('abfss://&amp;lt;workspace_id&amp;gt;@onelake.dfs.fabric.microsoft.com/&amp;lt;lakehouse_id&amp;gt;/Tables/dbo/&amp;lt;table_name&amp;gt;')&lt;/LI-CODE&gt;&lt;P&gt;&lt;SPAN&gt;You can also write there and should show successfully in the endpoint unless &lt;A href="https://community.fabric.microsoft.com/t5/Data-Engineering/Lakehouse-tables-not-showing-up-in-SQL-Endpoint/m-p/4062734" target="_self"&gt;this happens&lt;/A&gt;&lt;BR /&gt;&lt;A href="https://murggu.medium.com/databricks-and-fabric-writing-to-onelake-and-adls-gen2-671dcf24cf33" target="_self"&gt;This&lt;/A&gt; was quite useful documentation also&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;DIV&gt;&lt;DIV&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Sun, 26 Jan 2025 10:42:01 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/107053#M42690</guid>
      <dc:creator>javiomotero</dc:creator>
      <dc:date>2025-01-26T10:42:01Z</dc:date>
    </item>
    <item>
      <title>Re: How to consume Fabric Datawarehouse inside a Databricks notebook</title>
      <link>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/107549#M42829</link>
      <description>&lt;P&gt;Hello, I would like to get a bit more options regarding reading Views. Using the abfss is fine for reading tables, but I don't know how to load Views, which are visible in the SQL Endpoint. Is there any alternative for connecting to Fabric and be able to read views from a datalake?&lt;/P&gt;&lt;P&gt;Thank you&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jan 2025 10:51:18 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/how-to-consume-fabric-datawarehouse-inside-a-databricks-notebook/m-p/107549#M42829</guid>
      <dc:creator>javiomotero</dc:creator>
      <dc:date>2025-01-29T10:51:18Z</dc:date>
    </item>
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