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    <title>topic Re: Simple Question in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30516#M22134</link>
    <description>&lt;P&gt;AWESOME!&lt;/P&gt;</description>
    <pubDate>Tue, 01 Feb 2022 15:57:53 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2022-02-01T15:57:53Z</dc:date>
    <item>
      <title>Simple Question</title>
      <link>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30512#M22130</link>
      <description>&lt;P&gt;Does Spark SQL have both materialized and non-materialized views? With materialized views, it reads from cache for unchanged data, and only from the table for new/changed rows since the view was last accessed? Thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 28 Jan 2022 13:54:56 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30512#M22130</guid>
      <dc:creator>MRH</dc:creator>
      <dc:date>2022-01-28T13:54:56Z</dc:date>
    </item>
    <item>
      <title>Re: Simple Question</title>
      <link>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30513#M22131</link>
      <description>&lt;P&gt;Delta cache is per file so if you have dataset which data structure is splited in 100 files and 1 file was updated theoretically that 1 only should be evicted. It is automatic.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;There is also Spark cache which is totally manual so you control persist/cache operation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;When you use Databricks SQL endpoint delta cache is automatically handled, for delta cache optimized VMS is enabled by default for other by setting it in spark config.&lt;/P&gt;</description>
      <pubDate>Fri, 28 Jan 2022 15:13:36 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30513#M22131</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2022-01-28T15:13:36Z</dc:date>
    </item>
    <item>
      <title>Re: Simple Question</title>
      <link>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30514#M22132</link>
      <description>&lt;P&gt;@Mark Hummel​&amp;nbsp;- Does Hubert's answer resolve your question?&lt;/P&gt;</description>
      <pubDate>Mon, 31 Jan 2022 23:42:00 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30514#M22132</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-01-31T23:42:00Z</dc:date>
    </item>
    <item>
      <title>Re: Simple Question</title>
      <link>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30515#M22133</link>
      <description>&lt;P&gt;Yes&lt;/P&gt;</description>
      <pubDate>Tue, 01 Feb 2022 13:22:19 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30515#M22133</guid>
      <dc:creator>MRH</dc:creator>
      <dc:date>2022-02-01T13:22:19Z</dc:date>
    </item>
    <item>
      <title>Re: Simple Question</title>
      <link>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30516#M22134</link>
      <description>&lt;P&gt;AWESOME!&lt;/P&gt;</description>
      <pubDate>Tue, 01 Feb 2022 15:57:53 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/simple-question/m-p/30516#M22134</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2022-02-01T15:57:53Z</dc:date>
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