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    <title>topic Databricks Notebook Workflow in Community Articles</title>
    <link>https://community.databricks.com/t5/community-articles/databricks-notebook-workflow/m-p/66686#M44</link>
    <description>&lt;P data-unlink="true"&gt;&lt;SPAN&gt;Exciting news for&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;Databricks users! The ability to view job details within the notebook workflow section, particularly for multithreaded jobs, is available now. Instead of manually inspecting each job for failures, this feature enables us to swiftly identify any issues directly from the workflow interface. It greatly enhances efficiency and streamlines the debugging process, especially in scenarios with concurrent job executions.&lt;/SPAN&gt;&lt;BR /&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#databricks&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=workflow&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#workflow&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=notebbok&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#notebbok&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=multithreding&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#multithreding&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=spark&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#spark&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databrickslearning&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#databrickslearning&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="AjayPandey_1-1713513883239.jpeg" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/7142i9692E7DFDDCCDE57/image-size/medium/is-moderation-mode/true?v=v2&amp;amp;px=400" role="button" title="AjayPandey_1-1713513883239.jpeg" alt="AjayPandey_1-1713513883239.jpeg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Fri, 19 Apr 2024 08:05:37 GMT</pubDate>
    <dc:creator>Ajay-Pandey</dc:creator>
    <dc:date>2024-04-19T08:05:37Z</dc:date>
    <item>
      <title>Databricks Notebook Workflow</title>
      <link>https://community.databricks.com/t5/community-articles/databricks-notebook-workflow/m-p/66686#M44</link>
      <description>&lt;P data-unlink="true"&gt;&lt;SPAN&gt;Exciting news for&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;Databricks users! The ability to view job details within the notebook workflow section, particularly for multithreaded jobs, is available now. Instead of manually inspecting each job for failures, this feature enables us to swiftly identify any issues directly from the workflow interface. It greatly enhances efficiency and streamlines the debugging process, especially in scenarios with concurrent job executions.&lt;/SPAN&gt;&lt;BR /&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#databricks&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=workflow&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#workflow&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=notebbok&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#notebbok&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=multithreding&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#multithreding&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=spark&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#spark&lt;/A&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databrickslearning&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7185150563184001024" target="_blank" rel="noopener"&gt;#databrickslearning&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="AjayPandey_1-1713513883239.jpeg" style="width: 400px;"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/7142i9692E7DFDDCCDE57/image-size/medium/is-moderation-mode/true?v=v2&amp;amp;px=400" role="button" title="AjayPandey_1-1713513883239.jpeg" alt="AjayPandey_1-1713513883239.jpeg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Fri, 19 Apr 2024 08:05:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/databricks-notebook-workflow/m-p/66686#M44</guid>
      <dc:creator>Ajay-Pandey</dc:creator>
      <dc:date>2024-04-19T08:05:37Z</dc:date>
    </item>
    <item>
      <title>Re: Databricks Notebook Workflow</title>
      <link>https://community.databricks.com/t5/community-articles/databricks-notebook-workflow/m-p/66964#M46</link>
      <description>&lt;P&gt;Thank you for sharing&lt;/P&gt;</description>
      <pubDate>Mon, 22 Apr 2024 19:53:17 GMT</pubDate>
      <guid>https://community.databricks.com/t5/community-articles/databricks-notebook-workflow/m-p/66964#M46</guid>
      <dc:creator>Lakshay</dc:creator>
      <dc:date>2024-04-22T19:53:17Z</dc:date>
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