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    <title>topic tracing the history of a workflow in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/50397#M28793</link>
    <description>&lt;P&gt;Hi!&lt;/P&gt;&lt;P&gt;I use Databricks in Azure and I find it inconvenient not knowing the last modified user and modified time. How can I trace the history of modified time and user details? Would it be possible to deploy the workflows into higher environments?&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
    <pubDate>Fri, 03 Nov 2023 09:23:20 GMT</pubDate>
    <dc:creator>dev_puli</dc:creator>
    <dc:date>2023-11-03T09:23:20Z</dc:date>
    <item>
      <title>tracing the history of a workflow</title>
      <link>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/50397#M28793</link>
      <description>&lt;P&gt;Hi!&lt;/P&gt;&lt;P&gt;I use Databricks in Azure and I find it inconvenient not knowing the last modified user and modified time. How can I trace the history of modified time and user details? Would it be possible to deploy the workflows into higher environments?&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Fri, 03 Nov 2023 09:23:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/50397#M28793</guid>
      <dc:creator>dev_puli</dc:creator>
      <dc:date>2023-11-03T09:23:20Z</dc:date>
    </item>
    <item>
      <title>Re: tracing the history of a workflow</title>
      <link>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/53243#M29749</link>
      <description>&lt;P&gt;Thanks for your response! I used "describe history table_name" before as you specified above. I am fairly new to Databricks. Can you provide more insights about the workflow? How to trace the history of a workflow like tracing the history of a table(using a command like describe) or a notebook (using git options)? I am not sure of the possibilities of deploying the workflows from lower environments to higher environments. I had challenges in changing the owner of a workflow when I created a workflow. I ended up in seeking the help from another user with admin privileges to change the owner.&lt;/P&gt;</description>
      <pubDate>Tue, 21 Nov 2023 07:38:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/53243#M29749</guid>
      <dc:creator>dev_puli</dc:creator>
      <dc:date>2023-11-21T07:38:25Z</dc:date>
    </item>
    <item>
      <title>Re: tracing the history of a workflow</title>
      <link>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/53245#M29750</link>
      <description>&lt;P&gt;Sorry! I added another issue at the end without mentioning it was a new issue I encountered.&amp;nbsp;&lt;SPAN&gt;I had challenges in changing the owner of a workflow when I created a workflow. I ended up seeking help from another user with admin privileges to change the owner. Is there a way to choose a service principle as the default owner every time a workflow gets created by any user?&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 21 Nov 2023 07:43:28 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/tracing-the-history-of-a-workflow/m-p/53245#M29750</guid>
      <dc:creator>dev_puli</dc:creator>
      <dc:date>2023-11-21T07:43:28Z</dc:date>
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