<?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 Re: Efficiently orchestrate data bricks jobs in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7612#M3419</link>
    <description>&lt;P&gt;Hi @Janga Reddy​&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope everything is going great.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us so we can help you.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Cheers!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Mon, 20 Mar 2023 04:02:29 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2023-03-20T04:02:29Z</dc:date>
    <item>
      <title>Efficiently orchestrate data bricks jobs</title>
      <link>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7610#M3417</link>
      <description>&lt;P&gt;Hi Team,&lt;/P&gt;&lt;P&gt;How &lt;B&gt;efficiently can orchestrate data bricks jobs&lt;/B&gt; which involve a &lt;B&gt;lot of transformations, dependencies, and complexity&lt;/B&gt;?&lt;/P&gt;&lt;P&gt;At source have a lot of &lt;B&gt;SSIS packages&lt;/B&gt; that have complex dependencies and more transformation.&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We have the following options.&lt;/P&gt;&lt;P&gt;1) implement the logic in data bricks notebooks and schedule by using data bricks jobs, workflows&lt;/P&gt;&lt;P&gt;2) Implement the logic in DBT and schedule in DBT&amp;nbsp;&lt;/P&gt;&lt;P&gt;3) Implement the logic in data bricks notebooks and schedule by using ADF&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;B&gt;Could you please suggest what is the best way to implement which has more feasible to re-run and cost-saving? Please share if there is any reference docs/links.&lt;/B&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 16 Mar 2023 13:53:07 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7610#M3417</guid>
      <dc:creator>Phani1</dc:creator>
      <dc:date>2023-03-16T13:53:07Z</dc:date>
    </item>
    <item>
      <title>Re: Efficiently orchestrate data bricks jobs</title>
      <link>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7612#M3419</link>
      <description>&lt;P&gt;Hi @Janga Reddy​&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Hope everything is going great.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us so we can help you.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Cheers!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 20 Mar 2023 04:02:29 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7612#M3419</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2023-03-20T04:02:29Z</dc:date>
    </item>
    <item>
      <title>Re: Efficiently orchestrate data bricks jobs</title>
      <link>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7613#M3420</link>
      <description>&lt;P&gt;My question is, how do we &lt;B&gt;reliably orchestrate multiple Databricks Jobs/Workflows&lt;/B&gt; that are running in a mixed latency and can write to the same silver and gold delta tables? Could you please suggest the best approach and practices for the same?&lt;/P&gt;</description>
      <pubDate>Tue, 21 Mar 2023 04:31:05 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/efficiently-orchestrate-data-bricks-jobs/m-p/7613#M3420</guid>
      <dc:creator>Phani1</dc:creator>
      <dc:date>2023-03-21T04:31:05Z</dc:date>
    </item>
  </channel>
</rss>

