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    <title>topic Re: Saving a daily copy of inventory table to lakehouse in Dataflow</title>
    <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3855771#M2731</link>
    <description>&lt;P&gt;If you don't want to delete historic data, then you can use the Append mode. In this way, you just add new rows, without deleting old rows. I would add a snapshot timestamp column so you can keep track of which rows belong to which snapshot.&lt;/P&gt;</description>
    <pubDate>Sat, 20 Apr 2024 10:56:25 GMT</pubDate>
    <dc:creator>frithjof_v</dc:creator>
    <dc:date>2024-04-20T10:56:25Z</dc:date>
    <item>
      <title>Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3841655#M2703</link>
      <description>&lt;P&gt;I'm brand new to fabric and the data factory tools. I have an inventory table that shows the current invenotry for all my products. I'm looking to build a table that has a daily snapshot of the inventory. I'm assuming I could do this with incremental refresh but how do I make it so I don't delete historic information?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I'm brand new to all the Fabric / Data Factory tools so any help would be amazing.&lt;/P&gt;</description>
      <pubDate>Tue, 16 Apr 2024 13:24:16 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3841655#M2703</guid>
      <dc:creator>mds123</dc:creator>
      <dc:date>2024-04-16T13:24:16Z</dc:date>
    </item>
    <item>
      <title>Re: Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3844295#M2708</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="578642" data-lia-user-login="mds123" class="lia-mention lia-mention-user"&gt;mds123&lt;/a&gt;&amp;nbsp;,&lt;BR /&gt;&lt;BR /&gt;Thanks for using Fabric Community.&lt;BR /&gt;If you looking got incremental load then you can refer these documents -&lt;BR /&gt;&lt;A href="https://youtu.be/qLIF1C0INPs?si=iQtJEHtO6lovKzLn" target="_blank" rel="noopener"&gt;Incremental Load in Fabric&lt;/A&gt;&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;Pattern to incrementally amass data with Dataflow Gen2 - Microsoft Fabric | Microsoft Learn&lt;/A&gt;&lt;BR /&gt;&lt;BR /&gt;FYI: In future release we provide the incremental refresh.&lt;/P&gt;
&lt;P&gt;&lt;img /&gt;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;Inorder to know future release -&amp;nbsp;&lt;A href="https://learn.microsoft.com/en-us/fabric/release-plan/data-factory#inc-refresh" target="_blank"&gt;What's new and planned for Data Factory in Microsoft Fabric - Microsoft Fabric | Microsoft Learn&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&lt;BR /&gt;&amp;nbsp;Hope this is helpful. Please let me know incase of further queries.&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 17 Apr 2024 07:21:38 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3844295#M2708</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-04-17T07:21:38Z</dc:date>
    </item>
    <item>
      <title>Re: Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3849394#M2714</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="578642" data-lia-user-login="mds123" class="lia-mention lia-mention-user"&gt;mds123&lt;/a&gt;&amp;nbsp;,&lt;BR /&gt;&lt;BR /&gt;We haven’t heard from you on the last response and was just checking back to see if your query was answered.&lt;BR /&gt;Otherwise, will respond back with the more details and we will try to help .&lt;BR /&gt;&lt;BR /&gt;Thanks&lt;/P&gt;</description>
      <pubDate>Thu, 18 Apr 2024 10:49:49 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3849394#M2714</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-04-18T10:49:49Z</dc:date>
    </item>
    <item>
      <title>Re: Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3853399#M2723</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="578642" data-lia-user-login="mds123" class="lia-mention lia-mention-user"&gt;mds123&lt;/a&gt;&amp;nbsp;,&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;We haven’t heard from you on the last response and was just checking back to see if your query was answered.&lt;/SPAN&gt;&lt;BR /&gt;&lt;SPAN&gt;Otherwise, will respond back with the more details and we will try to help .&lt;/SPAN&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;SPAN&gt;Thanks&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 19 Apr 2024 10:32:25 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3853399#M2723</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-04-19T10:32:25Z</dc:date>
    </item>
    <item>
      <title>Re: Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3855771#M2731</link>
      <description>&lt;P&gt;If you don't want to delete historic data, then you can use the Append mode. In this way, you just add new rows, without deleting old rows. I would add a snapshot timestamp column so you can keep track of which rows belong to which snapshot.&lt;/P&gt;</description>
      <pubDate>Sat, 20 Apr 2024 10:56:25 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3855771#M2731</guid>
      <dc:creator>frithjof_v</dc:creator>
      <dc:date>2024-04-20T10:56:25Z</dc:date>
    </item>
    <item>
      <title>Re: Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3877147#M2829</link>
      <description>&lt;P&gt;you don't really need incremental refresh for this. If your goal is to take a snapshot, then just run the Dataflow Gen2 perhaps every day and then append the data to a "snapshots" table. Each run would be the snapshot at a particular date. You can also add another column where you can set a timestamp as to when the process was executed.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Again, it doesn't appear that you need incremental refresh, but that feature will come soon as well.&lt;/P&gt;</description>
      <pubDate>Tue, 30 Apr 2024 00:09:07 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3877147#M2829</guid>
      <dc:creator>miguel</dc:creator>
      <dc:date>2024-04-30T00:09:07Z</dc:date>
    </item>
    <item>
      <title>Re: Saving a daily copy of inventory table to lakehouse</title>
      <link>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3877148#M2830</link>
      <description>&lt;P&gt;It doesn't seem like you'd need incremental refresh.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;You can just run the dataflow every day, add a column to have the timestamp and just append the result of every day execution to a "snapshots" table. Again, it doesn't seem like you need incremental refresh at all and just doing an Append operation would suffice.&lt;/P&gt;</description>
      <pubDate>Tue, 30 Apr 2024 00:10:16 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Dataflow/Saving-a-daily-copy-of-inventory-table-to-lakehouse/m-p/3877148#M2830</guid>
      <dc:creator>miguel</dc:creator>
      <dc:date>2024-04-30T00:10:16Z</dc:date>
    </item>
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