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    <title>topic Re: flattening json in dlt pipeline in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127001#M47829</link>
    <description>&lt;P&gt;isnt materilized view recompute on every run? did you try with incremental processing?&amp;nbsp;&lt;/P&gt;&lt;P&gt;Do you have any complex joins?&lt;/P&gt;</description>
    <pubDate>Wed, 30 Jul 2025 22:59:27 GMT</pubDate>
    <dc:creator>Khaja_Zaffer</dc:creator>
    <dc:date>2025-07-30T22:59:27Z</dc:date>
    <item>
      <title>flattening json in dlt pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/126971#M47825</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I have in my bronze schema json files, I am flattening them in a dataframe after that I am creating materialized views in a dlt pipeline, however, in production is taking a lot of time (over 3 hours) is not even a lot of data the biggest materialized views has only 370k rows.&amp;nbsp;&lt;/P&gt;&lt;P&gt;Any advice? should I use delta tables instead of dlt pipelines? or what do you do?&lt;/P&gt;</description>
      <pubDate>Wed, 30 Jul 2025 15:37:43 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/126971#M47825</guid>
      <dc:creator>carlos_tasayco</dc:creator>
      <dc:date>2025-07-30T15:37:43Z</dc:date>
    </item>
    <item>
      <title>Re: flattening json in dlt pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127001#M47829</link>
      <description>&lt;P&gt;isnt materilized view recompute on every run? did you try with incremental processing?&amp;nbsp;&lt;/P&gt;&lt;P&gt;Do you have any complex joins?&lt;/P&gt;</description>
      <pubDate>Wed, 30 Jul 2025 22:59:27 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127001#M47829</guid>
      <dc:creator>Khaja_Zaffer</dc:creator>
      <dc:date>2025-07-30T22:59:27Z</dc:date>
    </item>
    <item>
      <title>Re: flattening json in dlt pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127128#M47865</link>
      <description>&lt;P&gt;At the end was a query problem, I was using crossjoin I removed this and my dlt pipeline worked well.&lt;/P&gt;</description>
      <pubDate>Thu, 31 Jul 2025 18:57:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127128#M47865</guid>
      <dc:creator>carlos_tasayco</dc:creator>
      <dc:date>2025-07-31T18:57:35Z</dc:date>
    </item>
    <item>
      <title>Re: flattening json in dlt pipeline</title>
      <link>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127134#M47867</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="https://community.databricks.com/t5/user/viewprofilepage/user-id/147953"&gt;@carlos_tasayco&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;As I mentioned whether you used any join, just wanted to ask, were this cross join were joining two large tables?&lt;/P&gt;</description>
      <pubDate>Thu, 31 Jul 2025 20:20:04 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/flattening-json-in-dlt-pipeline/m-p/127134#M47867</guid>
      <dc:creator>Khaja_Zaffer</dc:creator>
      <dc:date>2025-07-31T20:20:04Z</dc:date>
    </item>
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