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    <title>topic Fabric Monday 99: Direct lake and Mixed Mode in Webinars and Video Gallery</title>
    <link>https://community.fabric.microsoft.com/t5/Webinars-and-Video-Gallery/Fabric-Monday-99-Direct-lake-and-Mixed-Mode/m-p/4903480#M865</link>
    <description>&lt;P&gt;This is one of those features that exists before most people realize it exists.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;A very new capability in Microsoft Fabric now allows Direct Lake semantic models to run in mixed (composite) mode — and that changes the game.&lt;/P&gt;&lt;P&gt;I’ve just published a video where I show how to do it step by step.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;But here’s why this matters &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_down:"&gt;👇&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":high_voltage:"&gt;⚡&lt;/span&gt; Why combining Direct Lake + Composite Models is powerful&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; Aggregations finally make sense with Direct Lake&lt;/P&gt;&lt;P&gt;Pre-aggregated Import tables can accelerate high-level queries while keeping detail in Direct Lake&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; Performance where it matters most&lt;/P&gt;&lt;P&gt;Hot paths hit in-memory aggregations, cold paths stay in the lake — best of both worlds&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; More flexible modeling patterns&lt;/P&gt;&lt;P&gt;You’re no longer forced into a single storage mode decision for the entire model&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; Scalability without duplicating everything&lt;/P&gt;&lt;P&gt;Keep large fact tables in OneLake while selectively importing only what adds value&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; A smoother transition path&lt;/P&gt;&lt;P&gt;Ideal for evolving existing Import or Direct Lake models without redesigning everything&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The video focuses purely on how to implement this, but the implications go far beyond the demo.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="videoUrl hidden"&gt;watch?v=gwmXwtVYwy8&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Wed, 17 Dec 2025 02:49:08 GMT</pubDate>
    <dc:creator>DennesTorres</dc:creator>
    <dc:date>2025-12-17T02:49:08Z</dc:date>
    <item>
      <title>Fabric Monday 99: Direct lake and Mixed Mode</title>
      <link>https://community.fabric.microsoft.com/t5/Webinars-and-Video-Gallery/Fabric-Monday-99-Direct-lake-and-Mixed-Mode/m-p/4903480#M865</link>
      <description>&lt;P&gt;This is one of those features that exists before most people realize it exists.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;A very new capability in Microsoft Fabric now allows Direct Lake semantic models to run in mixed (composite) mode — and that changes the game.&lt;/P&gt;&lt;P&gt;I’ve just published a video where I show how to do it step by step.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;But here’s why this matters &lt;span class="lia-unicode-emoji" title=":backhand_index_pointing_down:"&gt;👇&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":high_voltage:"&gt;⚡&lt;/span&gt; Why combining Direct Lake + Composite Models is powerful&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; Aggregations finally make sense with Direct Lake&lt;/P&gt;&lt;P&gt;Pre-aggregated Import tables can accelerate high-level queries while keeping detail in Direct Lake&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; Performance where it matters most&lt;/P&gt;&lt;P&gt;Hot paths hit in-memory aggregations, cold paths stay in the lake — best of both worlds&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; More flexible modeling patterns&lt;/P&gt;&lt;P&gt;You’re no longer forced into a single storage mode decision for the entire model&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; Scalability without duplicating everything&lt;/P&gt;&lt;P&gt;Keep large fact tables in OneLake while selectively importing only what adds value&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":small_blue_diamond:"&gt;🔹&lt;/span&gt; A smoother transition path&lt;/P&gt;&lt;P&gt;Ideal for evolving existing Import or Direct Lake models without redesigning everything&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The video focuses purely on how to implement this, but the implications go far beyond the demo.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="videoUrl hidden"&gt;watch?v=gwmXwtVYwy8&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 17 Dec 2025 02:49:08 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Webinars-and-Video-Gallery/Fabric-Monday-99-Direct-lake-and-Mixed-Mode/m-p/4903480#M865</guid>
      <dc:creator>DennesTorres</dc:creator>
      <dc:date>2025-12-17T02:49:08Z</dc:date>
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