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    <title>topic Re: When should Change Data Feed be used? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/when-should-change-data-feed-be-used/m-p/26001#M18138</link>
    <description>&lt;P&gt;CDF simplifies the process of identifying the set of records that are updated, inserted, or deleted with each version of a Delta table. It helps to avoid having to implement downstream 'custom' filtration to identify these changes. This makes it an ideal source for servicing changed data to downstream applications.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Some things to consider when working with CDF are around the the type and volume of changes. CDF works well where the changes are a mix of insert, update and deletes; CDF may not be the best option when changes are append-only. Also, CDF works well in situations where small fractions of the data set are being changed per batch; when a large fraction of the data set is being changed CDF may not be a good fit.&lt;/P&gt;</description>
    <pubDate>Mon, 07 Jun 2021 18:10:54 GMT</pubDate>
    <dc:creator>patputnam-db</dc:creator>
    <dc:date>2021-06-07T18:10:54Z</dc:date>
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      <title>When should Change Data Feed be used?</title>
      <link>https://community.databricks.com/t5/data-engineering/when-should-change-data-feed-be-used/m-p/26000#M18137</link>
      <description>&lt;P&gt;IHAC who has a Change Data Capture data flowing into a Delta table. They would like to propagate these changes from this table into another table downstream. Is this a good application for using Change Data Feed?&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jun 2021 17:49:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/when-should-change-data-feed-be-used/m-p/26000#M18137</guid>
      <dc:creator>patputnam-db</dc:creator>
      <dc:date>2021-06-07T17:49:23Z</dc:date>
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    <item>
      <title>Re: When should Change Data Feed be used?</title>
      <link>https://community.databricks.com/t5/data-engineering/when-should-change-data-feed-be-used/m-p/26001#M18138</link>
      <description>&lt;P&gt;CDF simplifies the process of identifying the set of records that are updated, inserted, or deleted with each version of a Delta table. It helps to avoid having to implement downstream 'custom' filtration to identify these changes. This makes it an ideal source for servicing changed data to downstream applications.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Some things to consider when working with CDF are around the the type and volume of changes. CDF works well where the changes are a mix of insert, update and deletes; CDF may not be the best option when changes are append-only. Also, CDF works well in situations where small fractions of the data set are being changed per batch; when a large fraction of the data set is being changed CDF may not be a good fit.&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jun 2021 18:10:54 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/when-should-change-data-feed-be-used/m-p/26001#M18138</guid>
      <dc:creator>patputnam-db</dc:creator>
      <dc:date>2021-06-07T18:10:54Z</dc:date>
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