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    <title>Microsoft Fabric Blog</title>
    <link>https://blog.fabric.microsoft.com/en-AU/blog/</link>
    <description>Keep up with the latest Microsoft Fabric updates, announcements, information, &amp; new features on the Microsoft Fabric blog. Search by category or date published.</description>
    <language>en-US</language>
    <lastBuildDate>Fri, 17 Apr 2026 22:22:27 Z</lastBuildDate>
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        isPermaLink="false">give-your-ai-agent-the-keys-to-onelake-onelake-mcp-generally-available</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/give-your-ai-agent-the-keys-to-onelake-onelake-mcp-generally-available/</link>
      <title>Give your AI agent the keys to OneLake: OneLake MCP (Generally Available)</title>
      <description>&lt;p&gt;Have you ever tried to understand what&amp;#8217;s stored in your Fabric items? Would you even know where to begin? I had 92,000 UK property transactions sitting in an open mirrored database. Rather than spending hours sorting through documentation, I just asked my AI agent: &amp;#8220;Document what&amp;#8217;s in the House Price Open Mirror in my UK &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/give-your-ai-agent-the-keys-to-onelake-onelake-mcp-generally-available/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Give your AI agent the keys to OneLake: OneLake MCP (Generally Available)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Thu, 16 Apr 2026 10:00:00 Z</pubDate>
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        isPermaLink="false">answers-to-common-questions-about-fabric-data-factory</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/answers-to-common-questions-about-fabric-data-factory/</link>
      <title>Answers to common questions about Fabric Data Factory</title>
      <description>&lt;p&gt;As the Data Integration Customer Advisory Team (CAT) lead, I spent a lot of time talking to customers at the recent FabCon/SQLCon about Fabric Data Factory, and I came away with a clear picture of what&amp;#8217;s on customers&amp;#8217; minds when it comes to the future of data integration. Many of the same questions came up &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/answers-to-common-questions-about-fabric-data-factory/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Answers to common questions about Fabric Data Factory&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Thu, 16 Apr 2026 09:00:00 Z</pubDate>
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    <item>
      <guid
        isPermaLink="false">one-data-many-insights-how-eventhouse-brings-analytics-together-preview</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/one-data-many-insights-how-eventhouse-brings-analytics-together-preview/</link>
      <title>One platform, many insights: How Eventhouse brings analytics together (Preview)</title>
      <description>&lt;p&gt;Modern analytics isn’t just about storing data. It’s about detecting issues early, understanding them fast, and acting with confidence. Eventhouse in Microsoft Fabric brings advanced analytics capabilities together so teams can move from raw events to insight and action without stitching tools or duplicating data. With native integrations for Anomaly Detection, Data Agents, SQL Endpoints, &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/one-data-many-insights-how-eventhouse-brings-analytics-together-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;One platform, many insights: How Eventhouse brings analytics together (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Tue, 14 Apr 2026 12:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">capacity-scheduler-smarter-capacity-control-for-eventhouse-preview</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/capacity-scheduler-smarter-capacity-control-for-eventhouse-preview/</link>
      <title>Capacity Scheduler: Smarter capacity control for Eventhouse (Preview)</title>
      <description>&lt;p&gt;Modern, real-time analytics workloads are rarely flat. In Eventhouse, some of the customers consistently told us that their usage follows clear, predictable patterns: heavy ingestion during business hours, lighter query traffic overnight, quiet weekends, and short but critical pipeline windows. Previously, customers had to choose a single minimum capacity value for the entire week, paying &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/capacity-scheduler-smarter-capacity-control-for-eventhouse-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Capacity Scheduler: Smarter capacity control for Eventhouse (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Tue, 14 Apr 2026 10:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">unifying-analyze-data-with-analytics-across-fabric-preview</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/unifying-analyze-data-with-analytics-across-fabric-preview/</link>
      <title>Unifying “Analyze data with” analytics across Fabric (Preview)</title>
      <description>&lt;p&gt;As Microsoft Fabric continues to converge analytics experiences across workloads, one of the most important steps forward is reducing friction in how users move from raw data to insights. With the latest integrations, the Eventhouse Endpoint is now deeply embedded into the “Analyze data with” entry points across Lakehouse, Data Warehouse, and Eventhouse, bringing a &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/unifying-analyze-data-with-analytics-across-fabric-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Unifying “Analyze data with” analytics across Fabric (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Tue, 14 Apr 2026 09:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">alter-table-inside-explicit-transactions-in-fabric-data-warehouse-generally-available</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/alter-table-inside-explicit-transactions-in-fabric-data-warehouse-generally-available/</link>
      <title>ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)</title>
      <description>&lt;p&gt;Schema evolution is a fact of life for modern analytics platforms. As data models grow, teams need to add columns, drop unused fields, and evolve constraints—often as part of tightly controlled deployment pipelines. Fabric DW supported transactional execution for key table‑focused DDLs like CREATE TABLE, DROP TABLE, TRUNCATE TABLE, CTAS and sp_rename—with this release, ALTER &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/alter-table-inside-explicit-transactions-in-fabric-data-warehouse-generally-available/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Mon, 13 Apr 2026 11:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">bring-your-local-files-to-onelake-with-onelake-file-explorer-generally-available</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/bring-your-local-files-to-onelake-with-onelake-file-explorer-generally-available/</link>
      <title>Bring your local files to OneLake with OneLake file explorer (Generally Available)</title>
      <description>&lt;p&gt;Adopted by thousands of active users, OneLake File Explorer enables developers, data scientists, and business users to move data from local files into OneLake quickly—without changing how they work. From local files to cloud analytics—without breaking your flow Imagine this scenario: You’re a data engineer working with files on your local machine—CSV extracts, Excel files &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/bring-your-local-files-to-onelake-with-onelake-file-explorer-generally-available/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Bring your local files to OneLake with OneLake file explorer (Generally Available)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Mon, 13 Apr 2026 11:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">announcing-full-collation-support-for-sql-databases-in-microsoft-fabric-preview</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/announcing-full-collation-support-for-sql-databases-in-microsoft-fabric-preview/</link>
      <title>Announcing Full Collation Support for SQL Databases in Microsoft Fabric (Preview)</title>
      <description>&lt;p&gt;We heard from you and are introducing a major update for SQL database in Microsoft Fabric. Now, you can use all Azure SQL database collations when creating databases. This enhancement gives SQL database in Fabric users greater flexibility and compatibility for global data scenarios, reporting, and app development—no matter your language or regional requirements. What &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/announcing-full-collation-support-for-sql-databases-in-microsoft-fabric-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Announcing Full Collation Support for SQL Databases in Microsoft Fabric (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Mon, 13 Apr 2026 10:51:08 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">whats-new-in-fabric-eventstream-2026-q1-edition</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/whats-new-in-fabric-eventstream-2026-q1-edition/</link>
      <title>What’s new in Fabric Eventstream: 2026 Q1 Edition</title>
      <description>&lt;p&gt;Coauthor: Arindam Chatterjee Over the first quarter of 2026, Fabric Eventstreams shipped meaningful improvements across three themes that have repeatedly come up in feedback from our broad community of customers and partners: broader connectivity, richer real-time processing, and secure enterprise‑ready networking and operations. This post highlights some of the most impactful new Eventstreams-related features and &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/whats-new-in-fabric-eventstream-2026-q1-edition/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;What’s new in Fabric Eventstream: 2026 Q1 Edition&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Thu, 09 Apr 2026 10:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">associated-identities-for-items-preview</guid>
      <link>https://blog.fabric.microsoft.com/en-AU/blog/associated-identities-for-items-preview/</link>
      <title>Associated identities for items (Preview)</title>
      <description>&lt;p&gt;Background Currently, many items rely on the item’s owner identity for accessing connections and certain features (like delegated mode in SQL endpoint) specific to the item. If the owner leaves the organization or their credentials expire, items can become partially or fully non-functional. We’ve heard from many of you that the current remediation path (like &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/associated-identities-for-items-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Associated identities for items (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Thu, 09 Apr 2026 09:00:00 Z</pubDate>
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