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    <title>topic Collaborative features in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26208#M18318</link>
    <description>&lt;P&gt;What do you mean by collaborative data science? What collaboration features do you support?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Fri, 04 Jun 2021 19:42:20 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2021-06-04T19:42:20Z</dc:date>
    <item>
      <title>Collaborative features</title>
      <link>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26208#M18318</link>
      <description>&lt;P&gt;What do you mean by collaborative data science? What collaboration features do you support?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 04 Jun 2021 19:42:20 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26208#M18318</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2021-06-04T19:42:20Z</dc:date>
    </item>
    <item>
      <title>Re: Collaborative features</title>
      <link>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26209#M18319</link>
      <description>notebooks!&lt;BR /&gt;&lt;A href="https://docs.databricks.com/notebooks/index.html" target="test_blank"&gt;https://docs.databricks.com/notebooks/index.html&lt;/A&gt;</description>
      <pubDate>Fri, 04 Jun 2021 14:16:00 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26209#M18319</guid>
      <dc:creator>User16752244672</dc:creator>
      <dc:date>2021-06-04T14:16:00Z</dc:date>
    </item>
    <item>
      <title>Re: Collaborative features</title>
      <link>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26210#M18320</link>
      <description>&lt;P&gt;This primarily refers to the fact that notebooks can be shared to the whole org, to groups, to users, and can be limited to read/write/execute. You could argue that MLflow is also a form of collaboration, where multiple users can share an experiment to create the best model and share results. I suppose it also refers to the idea that it's a unified data platform, where the data engineering (thus data) happens in the same place as the analysis, so access to data is no problem.&lt;/P&gt;</description>
      <pubDate>Thu, 17 Jun 2021 23:50:55 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/collaborative-features/m-p/26210#M18320</guid>
      <dc:creator>sean_owen</dc:creator>
      <dc:date>2021-06-17T23:50:55Z</dc:date>
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