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    <title>topic Fabrics in Data Science</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5292519#M1301</link>
    <description>&lt;P&gt;Could anyone help me understanding the all system of Fabrics? Actually, I am beginner and so interested in this category, I will be so thankful to the person who guides me through it..&lt;/P&gt;</description>
    <pubDate>Tue, 14 Jul 2026 06:12:50 GMT</pubDate>
    <dc:creator>Muhammadluqman</dc:creator>
    <dc:date>2026-07-14T06:12:50Z</dc:date>
    <item>
      <title>Fabrics</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5292519#M1301</link>
      <description>&lt;P&gt;Could anyone help me understanding the all system of Fabrics? Actually, I am beginner and so interested in this category, I will be so thankful to the person who guides me through it..&lt;/P&gt;</description>
      <pubDate>Tue, 14 Jul 2026 06:12:50 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5292519#M1301</guid>
      <dc:creator>Muhammadluqman</dc:creator>
      <dc:date>2026-07-14T06:12:50Z</dc:date>
    </item>
    <item>
      <title>Re: Fabrics</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5315734#M1400</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Getting into Microsoft Fabric can feel a bit overwhelming given how much it covers, but the best way to look at it is simply as an all-in-one workspace for the whole data lifecycle.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;Instead of jumping between a dozen separate tools, Fabric groups everything into a few core workloads:&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;P&gt;&lt;STRONG&gt;Data Factory:&lt;/STRONG&gt; Ingestion and ETL using Pipelines and Dataflows Gen2.&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;STRONG&gt;Data Engineering &amp;amp; Lakehouse:&lt;/STRONG&gt; Heavy lifting and large-scale data transformation using Spark, PySpark, and Delta Lake (following the typical Bronze/Silver/Gold flow).&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;STRONG&gt;Data Warehouse:&lt;/STRONG&gt; Traditional, SQL-first relational analytics for structured enterprise reporting.&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;STRONG&gt;Data Science:&lt;/STRONG&gt; Model training, tracking, and experimentation using Python and MLflow.&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;STRONG&gt;Real-Time Intelligence:&lt;/STRONG&gt; Streaming, IoT events, and log analytics.&lt;/P&gt;&lt;/LI&gt;&lt;LI&gt;&lt;P&gt;&lt;STRONG&gt;Power BI:&lt;/STRONG&gt; The final consumption layer for semantic models, DAX, and reports.&lt;/P&gt;&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;STRONG&gt;Where to start?&lt;/STRONG&gt; First, get comfortable with the core ideas: &lt;STRONG&gt;OneLake&lt;/STRONG&gt; (the unified storage engine), &lt;STRONG&gt;Workspaces&lt;/STRONG&gt; (where you organize things), and the difference between a &lt;STRONG&gt;Lakehouse&lt;/STRONG&gt; (flexible/Spark-focused) and a &lt;STRONG&gt;Warehouse&lt;/STRONG&gt; (SQL-focused).&lt;/P&gt;&lt;P&gt;From there, build a quick end-to-end sandbox project: drop a CSV into a Lakehouse, clean it up with a Notebook, model it, and spit out a Power BI dashboard. Seeing data flow through the full pipeline makes the whole ecosystem click pretty fast.&lt;/P&gt;&lt;P&gt;Don't try to master every single workload on day one—get the bird's-eye view first, then dive deeper into the parts you actually need.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;H4&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":light_bulb:"&gt;💡&lt;/span&gt;Helpful? Give a Kudos &lt;span class="lia-unicode-emoji" title=":thumbs_up:"&gt;👍&lt;/span&gt; — keep the community growing.&lt;/STRONG&gt;&lt;/H4&gt;&lt;H4&gt;&lt;STRONG&gt;&lt;span class="lia-unicode-emoji" title=":white_heavy_check_mark:"&gt;✅&lt;/span&gt;Solved your issue? Mark this as the Accepted Solution &lt;span class="lia-unicode-emoji" title=":heavy_check_mark:"&gt;✔️&lt;/span&gt;&lt;/STRONG&gt;&lt;/H4&gt;&lt;H4&gt;&lt;STRONG&gt;Best regards,&lt;/STRONG&gt;&lt;BR /&gt;&lt;FONT color="#0000FF"&gt;&lt;STRONG&gt;Prince Singh | Data Science &amp;amp; Microsoft Fabric Enthusiast&lt;/STRONG&gt;&lt;/FONT&gt;&lt;/H4&gt;</description>
      <pubDate>Sat, 25 Jul 2026 05:33:17 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5315734#M1400</guid>
      <dc:creator>Prince0011</dc:creator>
      <dc:date>2026-07-25T05:33:17Z</dc:date>
    </item>
    <item>
      <title>Re: Fabrics</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5322036#M1412</link>
      <description>&lt;P&gt;Thankyou&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="1603209" data-lia-user-login="Prince0011" class="lia-mention lia-mention-user"&gt;Prince0011&lt;/a&gt;&amp;nbsp; &amp;nbsp;for Addressing the issue.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hi&amp;nbsp;&lt;a href="javascript:void(0)" data-lia-user-mentions="" data-lia-user-uid="1702690" data-lia-user-login="Muhammadluqman" class="lia-mention lia-mention-user"&gt;Muhammadluqman&lt;/a&gt;&amp;nbsp; ,&lt;/P&gt;
&lt;P&gt;Thank you for reaching out to Microsoft Fabric Community Forum,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards,&lt;/P&gt;
&lt;P&gt;Chaithanya&lt;/P&gt;</description>
      <pubDate>Mon, 27 Jul 2026 06:35:21 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5322036#M1412</guid>
      <dc:creator>v-kathullac</dc:creator>
      <dc:date>2026-07-27T06:35:21Z</dc:date>
    </item>
    <item>
      <title>Re: Fabrics</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5326892#M1422</link>
      <description>&lt;P&gt;Thankyou&amp;nbsp;&lt;A href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1603209" target="_blank"&gt;@Prince0011&lt;/A&gt;&amp;nbsp; &amp;nbsp;for Addressing the issue.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Hi&amp;nbsp;&lt;A href="https://community.fabric.microsoft.com/t5/user/viewprofilepage/user-id/1702690" target="_blank"&gt;@Muhammadluqman&lt;/A&gt;&amp;nbsp; ,&lt;/P&gt;
&lt;P&gt;Thank you for reaching out to Microsoft Fabric Community Forum,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards,&lt;/P&gt;
&lt;P&gt;Chaithanya&lt;/P&gt;</description>
      <pubDate>Wed, 29 Jul 2026 06:05:47 GMT</pubDate>
      <guid>https://community.fabric.microsoft.com/t5/Data-Science/Fabrics/m-p/5326892#M1422</guid>
      <dc:creator>v-kathullac</dc:creator>
      <dc:date>2026-07-29T06:05:47Z</dc:date>
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