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    <title>topic Big data ingest into Delta Lake in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/big-data-ingest-into-delta-lake/m-p/15238#M9594</link>
    <description>&lt;P&gt;I have a feature table in BQ that I want to ingest into Delta Lake. This feature table in BQ has 100TB of data. This table can be partitioned by DATE.&lt;/P&gt;&lt;P&gt;What best practices and approaches can I take to ingest this 100TB? In particular, what can I do to distribute the write to Delta Lake to the workers and minimize memory pressure on the driver?&lt;/P&gt;</description>
    <pubDate>Thu, 30 Jun 2022 15:29:42 GMT</pubDate>
    <dc:creator>spartakos</dc:creator>
    <dc:date>2022-06-30T15:29:42Z</dc:date>
    <item>
      <title>Big data ingest into Delta Lake</title>
      <link>https://community.databricks.com/t5/data-engineering/big-data-ingest-into-delta-lake/m-p/15238#M9594</link>
      <description>&lt;P&gt;I have a feature table in BQ that I want to ingest into Delta Lake. This feature table in BQ has 100TB of data. This table can be partitioned by DATE.&lt;/P&gt;&lt;P&gt;What best practices and approaches can I take to ingest this 100TB? In particular, what can I do to distribute the write to Delta Lake to the workers and minimize memory pressure on the driver?&lt;/P&gt;</description>
      <pubDate>Thu, 30 Jun 2022 15:29:42 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/big-data-ingest-into-delta-lake/m-p/15238#M9594</guid>
      <dc:creator>spartakos</dc:creator>
      <dc:date>2022-06-30T15:29:42Z</dc:date>
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