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    <title>topic Great Expectations with Fabric and Databricks-Building Bulletproof Data Pipelines in Community Articles</title>
    <link>https://community.databricks.com/t5/community-articles/great-expectations-with-fabric-and-databricks-building/m-p/144331#M959</link>
    <description>&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Image 1-17-26 at 18.42.png" style="width: 999px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/23056i16C03EE245861813/image-size/large?v=v2&amp;amp;px=999" role="button" title="Image 1-17-26 at 18.42.png" alt="Image 1-17-26 at 18.42.png" /&gt;&lt;/span&gt;In this article, I’ll walk you through transforming a basic PySpark notebook into a production-ready data pipeline with comprehensive quality checks using Great Expectations patterns in Microsoft Fabric and Databricks. We’ll start simple and progressively build a robust, enterprise-grade solution.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://medium.com/@bijumathewt/building-bulletproof-data-pipelines-from-basic-pyspark-to-great-expectations-in-microsoft-fabric-a72eaf2526eb" target="_blank" rel="noopener"&gt;https://medium.com/@bijumathewt/building-bulletproof-data-pipelines-from-basic-pyspark-to-great-expectations-in-microsoft-fabric-a72eaf2526eb&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Sun, 18 Jan 2026 00:43:01 GMT</pubDate>
    <dc:creator>BijuThottathil</dc:creator>
    <dc:date>2026-01-18T00:43:01Z</dc:date>
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      <title>Great Expectations with Fabric and Databricks-Building Bulletproof Data Pipelines</title>
      <link>https://community.databricks.com/t5/community-articles/great-expectations-with-fabric-and-databricks-building/m-p/144331#M959</link>
      <description>&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Image 1-17-26 at 18.42.png" style="width: 999px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/23056i16C03EE245861813/image-size/large?v=v2&amp;amp;px=999" role="button" title="Image 1-17-26 at 18.42.png" alt="Image 1-17-26 at 18.42.png" /&gt;&lt;/span&gt;In this article, I’ll walk you through transforming a basic PySpark notebook into a production-ready data pipeline with comprehensive quality checks using Great Expectations patterns in Microsoft Fabric and Databricks. We’ll start simple and progressively build a robust, enterprise-grade solution.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://medium.com/@bijumathewt/building-bulletproof-data-pipelines-from-basic-pyspark-to-great-expectations-in-microsoft-fabric-a72eaf2526eb" target="_blank" rel="noopener"&gt;https://medium.com/@bijumathewt/building-bulletproof-data-pipelines-from-basic-pyspark-to-great-expectations-in-microsoft-fabric-a72eaf2526eb&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 18 Jan 2026 00:43:01 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/great-expectations-with-fabric-and-databricks-building/m-p/144331#M959</guid>
      <dc:creator>BijuThottathil</dc:creator>
      <dc:date>2026-01-18T00:43:01Z</dc:date>
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