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    <title>Блоґ Microsoft Fabric</title>
    <link>https://blog.fabric.microsoft.com/uk-UA/blog/</link>
    <description>Слідкуйте за останніми оновленнями, оголошеннями, інформацією та новими функціями Microsoft Fabric у блозі Microsoft Fabric. Шукайте за категорією або датою публікації.</description>
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    <lastBuildDate>Thu, 23 Apr 2026 03:33:46 Z</lastBuildDate>
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        isPermaLink="false">stream-sql-change-events-to-microsoft-fabric-eventstream-with-change-event-streaming-for-real-time-analytics</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/stream-sql-change-events-to-microsoft-fabric-eventstream-with-change-event-streaming-for-real-time-analytics/</link>
      <title>Stream SQL Change Events to Microsoft Fabric Eventstream with Change Event Streaming for Real-Time Analytics</title>
      <description>&lt;p&gt;Coauthor: Nikola Zagorac In today’s data-driven world, the ability to capture and act on data changes in real time is a competitive necessity. From financial services processing millions of transactions per second to e-commerce platforms tracking inventory and customer behavior, real-time data streaming has become the backbone of modern decision-making—and nowhere is this more critical &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/stream-sql-change-events-to-microsoft-fabric-eventstream-with-change-event-streaming-for-real-time-analytics/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Stream SQL Change Events to Microsoft Fabric Eventstream with Change Event Streaming for Real-Time Analytics&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Wed, 22 Apr 2026 14:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">outbound-access-protection-for-data-factory-generally-available</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/outbound-access-protection-for-data-factory-generally-available/</link>
      <title>Outbound access protection for Data Factory (Generally Available)</title>
      <description>&lt;p&gt;Co-author: Abhishek Narain Workspace outbound access protection (OAP) is widely accessible for Data Factory workloads—including Pipelines, Copy Job, and Dataflows—as well as for Mirrored Databases such as Mirrored SQL Database and Mirrored Snowflake. Key benefits Enhanced outbound security: By leveraging OAP rules, organizations can ensure that the Data Factory items from the protected workspace can &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/outbound-access-protection-for-data-factory-generally-available/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Outbound access protection for Data Factory (Generally Available)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Wed, 22 Apr 2026 11:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">customer-managed-keys-cmk-for-eventhouse-preview</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/customer-managed-keys-cmk-for-eventhouse-preview/</link>
      <title>Customer Managed Keys (CMK) for Eventhouse (Preview)</title>
      <description>&lt;p&gt;Empowering customers with enhanced security and control. This milestone marks a significant step forward in empowering our customers to take control of their data security and compliance needs within the Eventhouse platform. With CMK, you can manage your own encryption keys, providing an added layer of security and flexibility. This feature allows you to meet &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/customer-managed-keys-cmk-for-eventhouse-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Customer Managed Keys (CMK) for Eventhouse (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Wed, 22 Apr 2026 10:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">agentic-fabric-how-mcp-is-turning-your-data-platform-into-an-ai-native-operating-system</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/agentic-fabric-how-mcp-is-turning-your-data-platform-into-an-ai-native-operating-system/</link>
      <title>Agentic Fabric: How MCP is turning your data platform into an AI-native operating system</title>
      <description>&lt;p&gt;Something fundamental is changing in how developers interact with data platforms. Not a feature update, not a UI refresh, but a shift in the interface itself.&lt;/p&gt;
</description>
      <pubDate>Tue, 21 Apr 2026 14:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">orchestrate-dbt-jobs-activity-in-your-fabric-pipelines-preview</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/orchestrate-dbt-jobs-activity-in-your-fabric-pipelines-preview/</link>
      <title>Orchestrate dbt jobs activity in your Fabric pipelines (Preview)</title>
      <description>&lt;p&gt;Coordinating dbt runs with upstream ingestion and downstream consumption often requires complex solutions and different tools. You can now add a dbt job activity (Preview) directly to your Fabric pipelines. This lets you orchestrate dbt transformations alongside other pipeline activities, so you can build end-to-end data workflows without switching tools. Why this matters Run dbt &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/orchestrate-dbt-jobs-activity-in-your-fabric-pipelines-preview/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Orchestrate dbt jobs activity in your Fabric pipelines (Preview)&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Mon, 20 Apr 2026 10:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">evolving-agentic-applications-on-microsoft-fabric-from-automated-deployment-to-integrating-data-agents</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/evolving-agentic-applications-on-microsoft-fabric-from-automated-deployment-to-integrating-data-agents/</link>
      <title>Evolving Agentic Applications on Microsoft Fabric: From Automated Deployment to Integrating Data Agents</title>
      <description>&lt;p&gt;In our previous post, Operationalizing Agentic Applications with Microsoft Fabric, we focused on a core challenge teams encounter once an agentic application moves beyond a proof of concept: operational reality. Specifically, how do you observe, govern, evaluate, and analyze what agents are doing once they interact with real users, data, and business processes at scale? &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/evolving-agentic-applications-on-microsoft-fabric-from-automated-deployment-to-integrating-data-agents/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Evolving Agentic Applications on Microsoft Fabric: From Automated Deployment to Integrating Data Agents&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Mon, 20 Apr 2026 10:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">secure-your-data-streams-how-to-choose-the-right-network-security-feature-in-eventstream</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/blog/secure-your-data-streams-how-to-choose-the-right-network-security-feature-in-eventstream/</link>
      <title>Secure your data streams: How to choose the right network security feature in Eventstream</title>
      <description>&lt;p&gt;Eventstream in Fabric Real-Time Intelligence stream data from both inside and outside the Fabric platform. When your external sources sit behind firewalls or in private networks, choosing the right network security feature is essential. This post breaks down the available options in Eventstream and helps you determine which one fits your scenario. Understanding network traffic &amp;hellip; &lt;/p&gt;
&lt;p class="link-more"&gt;&lt;a href="https://blog.fabric.microsoft.com/en-us/blog/secure-your-data-streams-how-to-choose-the-right-network-security-feature-in-eventstream/" class="more-link"&gt;Continue reading&lt;span class="screen-reader-text"&gt; &amp;#8220;Secure your data streams: How to choose the right network security feature in Eventstream&amp;#8221;&lt;/span&gt;&lt;/a&gt;&lt;/p&gt;
</description>
      <pubDate>Mon, 20 Apr 2026 09:00:00 Z</pubDate>
    </item>
    <item>
      <guid
        isPermaLink="false">give-your-ai-agent-the-keys-to-onelake-onelake-mcp-generally-available</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/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>
    </item>
    <item>
      <guid
        isPermaLink="false">answers-to-common-questions-about-fabric-data-factory</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/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>
    </item>
    <item>
      <guid
        isPermaLink="false">one-data-many-insights-how-eventhouse-brings-analytics-together-preview</guid>
      <link>https://blog.fabric.microsoft.com/uk-UA/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>
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