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    <title>topic Re: What are the different options for dealing with invalid records in a Delta Live Table in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/what-are-the-different-options-for-dealing-with-invalid-records/m-p/20954#M14201</link>
    <description>&lt;P&gt;Delta Live Table supports the data quality checks via expectations. On encountering invalid records you can choose to either retain them, drop them or fail/stop the pipeline. See the link below for additional details&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-user-guide.html#publish-tables&amp;amp;language-sql" target="test_blank"&gt;https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-user-guide.html#publish-tables&amp;amp;language-sql&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 24 Jun 2021 03:41:27 GMT</pubDate>
    <dc:creator>aladda</dc:creator>
    <dc:date>2021-06-24T03:41:27Z</dc:date>
    <item>
      <title>What are the different options for dealing with invalid records in a Delta Live Table</title>
      <link>https://community.databricks.com/t5/data-engineering/what-are-the-different-options-for-dealing-with-invalid-records/m-p/20953#M14200</link>
      <description />
      <pubDate>Thu, 24 Jun 2021 03:40:03 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-are-the-different-options-for-dealing-with-invalid-records/m-p/20953#M14200</guid>
      <dc:creator>aladda</dc:creator>
      <dc:date>2021-06-24T03:40:03Z</dc:date>
    </item>
    <item>
      <title>Re: What are the different options for dealing with invalid records in a Delta Live Table</title>
      <link>https://community.databricks.com/t5/data-engineering/what-are-the-different-options-for-dealing-with-invalid-records/m-p/20954#M14201</link>
      <description>&lt;P&gt;Delta Live Table supports the data quality checks via expectations. On encountering invalid records you can choose to either retain them, drop them or fail/stop the pipeline. See the link below for additional details&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-user-guide.html#publish-tables&amp;amp;language-sql" target="test_blank"&gt;https://docs.databricks.com/data-engineering/delta-live-tables/delta-live-tables-user-guide.html#publish-tables&amp;amp;language-sql&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 24 Jun 2021 03:41:27 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/what-are-the-different-options-for-dealing-with-invalid-records/m-p/20954#M14201</guid>
      <dc:creator>aladda</dc:creator>
      <dc:date>2021-06-24T03:41:27Z</dc:date>
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