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    <title>topic Post: Lakehouse Federation - Databricks in Community Articles</title>
    <link>https://community.databricks.com/t5/community-articles/post-lakehouse-federation-databricks/m-p/66230#M60</link>
    <description>&lt;P&gt;&lt;STRONG&gt;Lakehouse Federation - Databricks&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; In the world of data, innovation is constant. And the most recent revolution comes with Lakehouse Federation, a fusion between data lakes and data warehouses, taking data manipulation to a new level. This advancement promises deeper insights, improved integration and more assertive decisions, driving business value to unprecedented heights.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":magnifying_glass_tilted_left:"&gt;🔍&lt;/span&gt; What is Lakehouse Federation? &lt;span class="lia-unicode-emoji" title=":thinking_face:"&gt;🤔&lt;/span&gt;&lt;BR /&gt;Lakehouse Federation, a feature of Databricks, redefines the way we interact with data. It allows you to discover, query and control data from multiple sources, such as MySQL, PostgreSQL, Redshift, Snowflake, Azure SQL, among others, without the need to move or copy data. &lt;span class="lia-unicode-emoji" title=":globe_with_meridians:"&gt;🌐&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":locked_with_key:"&gt;🔐&lt;/span&gt; With Unity Catalog, Lakehouse Federation offers a unified metadata management platform, providing a holistic view of all your data, regardless of where it is stored. This not only facilitates data discovery and control, but also ensures consistent and secure data governance.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":bar_chart:"&gt;📊&lt;/span&gt; Why adopt Lakehouse Federation?&lt;BR /&gt;The ability to analyze data from multiple external sources without the need for centralized migration reduces redundancy and data isolation. Whether for ad hoc reporting, proofs of concept, or supporting workloads during incremental migrations, Lakehouse Federation offers an efficient and agile solution.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":wrench:"&gt;🔧&lt;/span&gt; Hands-on: Exploring the Lakehouse Federation&lt;BR /&gt;In this hands-on, we will explore configuring Lakehouse Federation, accessing data from Azure SQL Database and Azure Database for MySQL. We will dive into configurations, connections, and demonstrate the functionality that Databricks brings to Lakehouse Federation.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":video_camera:"&gt;📹&lt;/span&gt; Check out the full demo on YouTube: &lt;A href="https://lnkd.in/dBxpgvtC" target="_blank" rel="noopener"&gt;https://lnkd.in/dBxpgvtC&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":video_camera:"&gt;📹&lt;/span&gt; Also check out the post with a summary about the lakehouse federation: &lt;A href="https://lnkd.in/eDBgBVHy" target="_blank" rel="noopener"&gt;https://lnkd.in/eDBgBVHy&lt;/A&gt;&lt;/P&gt;&lt;P&gt;#databricks #databrickssql #pyspark #lakehouse #lakehousefederation #spark #sparksql #azurecloud #azuredatabricks&lt;/P&gt;</description>
    <pubDate>Sun, 14 Apr 2024 23:31:33 GMT</pubDate>
    <dc:creator>ThomazRossito</dc:creator>
    <dc:date>2024-04-14T23:31:33Z</dc:date>
    <item>
      <title>Post: Lakehouse Federation - Databricks</title>
      <link>https://community.databricks.com/t5/community-articles/post-lakehouse-federation-databricks/m-p/66230#M60</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Lakehouse Federation - Databricks&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":link:"&gt;🔗&lt;/span&gt; In the world of data, innovation is constant. And the most recent revolution comes with Lakehouse Federation, a fusion between data lakes and data warehouses, taking data manipulation to a new level. This advancement promises deeper insights, improved integration and more assertive decisions, driving business value to unprecedented heights.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":magnifying_glass_tilted_left:"&gt;🔍&lt;/span&gt; What is Lakehouse Federation? &lt;span class="lia-unicode-emoji" title=":thinking_face:"&gt;🤔&lt;/span&gt;&lt;BR /&gt;Lakehouse Federation, a feature of Databricks, redefines the way we interact with data. It allows you to discover, query and control data from multiple sources, such as MySQL, PostgreSQL, Redshift, Snowflake, Azure SQL, among others, without the need to move or copy data. &lt;span class="lia-unicode-emoji" title=":globe_with_meridians:"&gt;🌐&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":locked_with_key:"&gt;🔐&lt;/span&gt; With Unity Catalog, Lakehouse Federation offers a unified metadata management platform, providing a holistic view of all your data, regardless of where it is stored. This not only facilitates data discovery and control, but also ensures consistent and secure data governance.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":bar_chart:"&gt;📊&lt;/span&gt; Why adopt Lakehouse Federation?&lt;BR /&gt;The ability to analyze data from multiple external sources without the need for centralized migration reduces redundancy and data isolation. Whether for ad hoc reporting, proofs of concept, or supporting workloads during incremental migrations, Lakehouse Federation offers an efficient and agile solution.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":wrench:"&gt;🔧&lt;/span&gt; Hands-on: Exploring the Lakehouse Federation&lt;BR /&gt;In this hands-on, we will explore configuring Lakehouse Federation, accessing data from Azure SQL Database and Azure Database for MySQL. We will dive into configurations, connections, and demonstrate the functionality that Databricks brings to Lakehouse Federation.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":video_camera:"&gt;📹&lt;/span&gt; Check out the full demo on YouTube: &lt;A href="https://lnkd.in/dBxpgvtC" target="_blank" rel="noopener"&gt;https://lnkd.in/dBxpgvtC&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":video_camera:"&gt;📹&lt;/span&gt; Also check out the post with a summary about the lakehouse federation: &lt;A href="https://lnkd.in/eDBgBVHy" target="_blank" rel="noopener"&gt;https://lnkd.in/eDBgBVHy&lt;/A&gt;&lt;/P&gt;&lt;P&gt;#databricks #databrickssql #pyspark #lakehouse #lakehousefederation #spark #sparksql #azurecloud #azuredatabricks&lt;/P&gt;</description>
      <pubDate>Sun, 14 Apr 2024 23:31:33 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/post-lakehouse-federation-databricks/m-p/66230#M60</guid>
      <dc:creator>ThomazRossito</dc:creator>
      <dc:date>2024-04-14T23:31:33Z</dc:date>
    </item>
    <item>
      <title>Re: Post: Lakehouse Federation - Databricks</title>
      <link>https://community.databricks.com/t5/community-articles/post-lakehouse-federation-databricks/m-p/117774#M416</link>
      <description>&lt;P&gt;Hey Quick Question, Can we use it for the production version ?&amp;nbsp;We have application server as SQL server, we are planning to use lakehouse federation so we can bypass creating and maintaining 100 of workflows. as we a small dataset I am not too sure on the performace impact also as per the documnetation of&amp;nbsp;&lt;SPAN&gt;&amp;nbsp;Lakehouse Federation says its only for POC?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 06 May 2025 03:08:56 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/post-lakehouse-federation-databricks/m-p/117774#M416</guid>
      <dc:creator>Freshman</dc:creator>
      <dc:date>2025-05-06T03:08:56Z</dc:date>
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