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    <title>topic Azure Databricks, how to learn to use practically? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/azure-databricks-how-to-learn-to-use-practically/m-p/16771#M10889</link>
    <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Not sure whether better do ask this in an Azure or Spark subject, but I thought I might get responses appropriate to our use cases here.&lt;/P&gt;
&lt;P&gt;We have Azure Databricks set up and working, and not had any problems following along the tutorials, but I don't feel they really let me know how to use in practice. I would appreciate any recommendations, but a couple of questions to give an example of the kind of thing I don't know.&lt;/P&gt;
&lt;P&gt;When I close a cluster down, I get a warning that all data will be lost. However, the workspace seems to remember that the blob storage was mounted and if I rerun the full notebook I get an error at this step: Should I be separating my mounting ste &lt;A href="https://omegle.onl/" target="test_blank"&gt;https://omegle.onl/&lt;/A&gt; ps into a different notebook? Or should I unmount at the end of a notebook? Is this mounted for the entire subscription, or just me as a user?&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;I have successfully written out last dataframes as a parquet in blob storage. Databricks splits it into many different files. How do I keep track of t &lt;A href="https://vshare.onl/" target="test_blank"&gt;https://vshare.onl/&lt;/A&gt; his? Do I need a different folder for each output, or do I rely on databricks to know this? Will this knowledge be retained if I close the cluster? Is there an easy way to view the contents of a folder from within databricks where it displays as a single file; i.e. Output.parquet rather than the 20+ files I see in the actual Blob container.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Any thoughts appreciated.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Sat, 07 Aug 2021 13:24:34 GMT</pubDate>
    <dc:creator>justinbuo53</dc:creator>
    <dc:date>2021-08-07T13:24:34Z</dc:date>
    <item>
      <title>Azure Databricks, how to learn to use practically?</title>
      <link>https://community.databricks.com/t5/data-engineering/azure-databricks-how-to-learn-to-use-practically/m-p/16771#M10889</link>
      <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Not sure whether better do ask this in an Azure or Spark subject, but I thought I might get responses appropriate to our use cases here.&lt;/P&gt;
&lt;P&gt;We have Azure Databricks set up and working, and not had any problems following along the tutorials, but I don't feel they really let me know how to use in practice. I would appreciate any recommendations, but a couple of questions to give an example of the kind of thing I don't know.&lt;/P&gt;
&lt;P&gt;When I close a cluster down, I get a warning that all data will be lost. However, the workspace seems to remember that the blob storage was mounted and if I rerun the full notebook I get an error at this step: Should I be separating my mounting ste &lt;A href="https://omegle.onl/" target="test_blank"&gt;https://omegle.onl/&lt;/A&gt; ps into a different notebook? Or should I unmount at the end of a notebook? Is this mounted for the entire subscription, or just me as a user?&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;I have successfully written out last dataframes as a parquet in blob storage. Databricks splits it into many different files. How do I keep track of t &lt;A href="https://vshare.onl/" target="test_blank"&gt;https://vshare.onl/&lt;/A&gt; his? Do I need a different folder for each output, or do I rely on databricks to know this? Will this knowledge be retained if I close the cluster? Is there an easy way to view the contents of a folder from within databricks where it displays as a single file; i.e. Output.parquet rather than the 20+ files I see in the actual Blob container.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Any thoughts appreciated.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 07 Aug 2021 13:24:34 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/azure-databricks-how-to-learn-to-use-practically/m-p/16771#M10889</guid>
      <dc:creator>justinbuo53</dc:creator>
      <dc:date>2021-08-07T13:24:34Z</dc:date>
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