<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Starting from #databricks 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function ... in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/starting-from-databricks-12-2-lts-the-explode-function-can-be/m-p/8000#M3733</link>
    <description>&lt;P&gt;Starting from &lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7039312057900367872" alt="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7039312057900367872" target="_blank"&gt;#databricks&lt;/A&gt; 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function takes an array column as input and returns a new row for each element in the array, offering new possibilities for data manipulation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="ezgif-3-f42040b788"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/570iA18104D9D1CF0A1A/image-size/large?v=v2&amp;amp;px=999" role="button" title="ezgif-3-f42040b788" alt="ezgif-3-f42040b788" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 09 Mar 2023 22:36:56 GMT</pubDate>
    <dc:creator>Hubert-Dudek</dc:creator>
    <dc:date>2023-03-09T22:36:56Z</dc:date>
    <item>
      <title>Starting from #databricks 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function ...</title>
      <link>https://community.databricks.com/t5/data-engineering/starting-from-databricks-12-2-lts-the-explode-function-can-be/m-p/8000#M3733</link>
      <description>&lt;P&gt;Starting from &lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7039312057900367872" alt="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7039312057900367872" target="_blank"&gt;#databricks&lt;/A&gt; 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function takes an array column as input and returns a new row for each element in the array, offering new possibilities for data manipulation.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="ezgif-3-f42040b788"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/570iA18104D9D1CF0A1A/image-size/large?v=v2&amp;amp;px=999" role="button" title="ezgif-3-f42040b788" alt="ezgif-3-f42040b788" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 09 Mar 2023 22:36:56 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/starting-from-databricks-12-2-lts-the-explode-function-can-be/m-p/8000#M3733</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2023-03-09T22:36:56Z</dc:date>
    </item>
    <item>
      <title>Re: Starting from #databricks 12.2 LTS, the explode function can be used in the FROM statement to manipulate data in new and powerful ways. This function ...</title>
      <link>https://community.databricks.com/t5/data-engineering/starting-from-databricks-12-2-lts-the-explode-function-can-be/m-p/8001#M3734</link>
      <description>&lt;P&gt;Thank you for sharing @Hubert Dudek​&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 22 Mar 2023 21:26:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/starting-from-databricks-12-2-lts-the-explode-function-can-be/m-p/8001#M3734</guid>
      <dc:creator>jose_gonzalez</dc:creator>
      <dc:date>2023-03-22T21:26:25Z</dc:date>
    </item>
  </channel>
</rss>

