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    <title>topic Re: Incremental Data Load Options in Microsoft Fabric in Data Engineering</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785452#M1857</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="704119" data-lia-user-login="jashfabric" class="lia-mention lia-mention-user"&gt;jashfabric&lt;/a&gt;&amp;nbsp;&lt;BR /&gt;Thanks for using Fabric Community.&lt;BR /&gt;You can use a Dataflow gen2 for incremental load.&amp;nbsp;Incrementally amassing data in a data destination requires a technique to load only new or updated data into your data destination. This technique can be done by using a query to filter the data based on the data destination.&lt;BR /&gt;&lt;BR /&gt;For more information please refer to this link:&lt;BR /&gt;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-factory/tutorial-setup-incremental-refresh-with-dataflows-gen2" target="_blank"&gt;https://learn.microsoft.com/en-us/fabric/data-factory/tutorial-setup-incremental-refresh-with-dataflows-gen2&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;Hope this helps. Please let me know if you have any further queries.&lt;/P&gt;</description>
    <pubDate>Fri, 22 Mar 2024 08:44:18 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2024-03-22T08:44:18Z</dc:date>
    <item>
      <title>Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785372#M1856</link>
      <description>&lt;P&gt;Hi everyone,&lt;BR /&gt;I'm building a Medallion Architecture in Microsoft Fabric and am exploring options for implementing incremental data loads. Does Fabric offer built-in functionalities to achieve this? If so, what are the available approaches (e.g., Data Factory pipelines, Spark notebooks)?&lt;BR /&gt;&lt;BR /&gt;Any insights or best practices for implementing incremental loads in Fabric would be highly valuable.&lt;BR /&gt;Thanks!&lt;BR /&gt;Tagging Anonymous&lt;/a&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 22 Mar 2024 08:20:41 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785372#M1856</guid>
      <dc:creator>jashfabric</dc:creator>
      <dc:date>2024-03-22T08:20:41Z</dc:date>
    </item>
    <item>
      <title>Re: Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785452#M1857</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="704119" data-lia-user-login="jashfabric" class="lia-mention lia-mention-user"&gt;jashfabric&lt;/a&gt;&amp;nbsp;&lt;BR /&gt;Thanks for using Fabric Community.&lt;BR /&gt;You can use a Dataflow gen2 for incremental load.&amp;nbsp;Incrementally amassing data in a data destination requires a technique to load only new or updated data into your data destination. This technique can be done by using a query to filter the data based on the data destination.&lt;BR /&gt;&lt;BR /&gt;For more information please refer to this link:&lt;BR /&gt;&lt;A href="https://learn.microsoft.com/en-us/fabric/data-factory/tutorial-setup-incremental-refresh-with-dataflows-gen2" target="_blank"&gt;https://learn.microsoft.com/en-us/fabric/data-factory/tutorial-setup-incremental-refresh-with-dataflows-gen2&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;Hope this helps. Please let me know if you have any further queries.&lt;/P&gt;</description>
      <pubDate>Fri, 22 Mar 2024 08:44:18 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785452#M1857</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-03-22T08:44:18Z</dc:date>
    </item>
    <item>
      <title>Re: Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785899#M1858</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="704119" data-lia-user-login="jashfabric" class="lia-mention lia-mention-user"&gt;jashfabric&lt;/a&gt;&amp;nbsp;from a Spark/Notebook/Delta perspective, you could look into using Change Data Feed:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.serverlesssql.com/delta-change-data-feed-in-fabric-lakehouses/" target="_blank"&gt;Delta Lake Change Data Feed in Fabric Lakehouses (serverlesssql.com)&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 22 Mar 2024 10:38:29 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3785899#M1858</guid>
      <dc:creator>AndyDDC</dc:creator>
      <dc:date>2024-03-22T10:38:29Z</dc:date>
    </item>
    <item>
      <title>Re: Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3786081#M1859</link>
      <description>&lt;P&gt;Thanks for your help Anonymous&lt;/a&gt;&amp;nbsp; &lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="265587" data-lia-user-login="AndyDDC" class="lia-mention lia-mention-user"&gt;AndyDDC&lt;/a&gt;&amp;nbsp;&lt;BR /&gt;That really helps.&lt;/P&gt;</description>
      <pubDate>Fri, 22 Mar 2024 11:59:36 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3786081#M1859</guid>
      <dc:creator>jashfabric</dc:creator>
      <dc:date>2024-03-22T11:59:36Z</dc:date>
    </item>
    <item>
      <title>Re: Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3786087#M1860</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="704119" data-lia-user-login="jashfabric" class="lia-mention lia-mention-user"&gt;jashfabric&lt;/a&gt;&amp;nbsp;&lt;BR /&gt;Glad that your query got resolved. Please continue using Fabric Community for any help regarding your queries.&lt;/P&gt;</description>
      <pubDate>Fri, 22 Mar 2024 12:02:33 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3786087#M1860</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-03-22T12:02:33Z</dc:date>
    </item>
    <item>
      <title>Re: Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3788445#M1861</link>
      <description>&lt;P&gt;Hello, i want to ask some question. Is this method (from the link that you provided) is only works for append condition? If i have 100 rows from day one, and for the next day there are 2 rows that have been modified will that method also automatically update my 2 rows?&lt;/P&gt;</description>
      <pubDate>Mon, 25 Mar 2024 02:37:58 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/3788445#M1861</guid>
      <dc:creator>jovianaditya</dc:creator>
      <dc:date>2024-03-25T02:37:58Z</dc:date>
    </item>
    <item>
      <title>Re: Incremental Data Load Options in Microsoft Fabric</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/4877747#M13503</link>
      <description>&lt;P&gt;I think there is no "merge/update" write option in Dataflows. You can only overwrite the whole table or append. It is also not uncommon to keep the old versions of rows as well, for logging purposes.&lt;/P&gt;</description>
      <pubDate>Mon, 17 Nov 2025 15:36:03 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Engineering/Incremental-Data-Load-Options-in-Microsoft-Fabric/m-p/4877747#M13503</guid>
      <dc:creator>NotebookEnjoyer</dc:creator>
      <dc:date>2025-11-17T15:36:03Z</dc:date>
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