title: Reading csv files from microsoft Azure using R
body: <p>I have recently started working with databricks and azure. </p>
  
  <p>I have microsoft azure storage explorer. I ran a jar program on databricks 
  which outputs many csv files in the azure storgae explorer in the path </p>
  
  <pre><code>..../myfolder/subfolder/output/old/p/ 
  </code></pre>
  
  <p>The usual thing I do is to go the folder <code>p</code> and download all the csv files
  by right clicking the <code>p</code> folder and click <code>download</code> on my local drive
  and these csv files in R to do any analysis.</p>
  
  <p>My issue is that sometimes my runs could generate more than 10000 csv files 
  whose downloading to the local drive takes lot of time.</p>
  
  <p>I wondered if there is a tutorial/R package which helps me to read in
  the csv files from the path above without downloading them. For e.g.
  is there any way I can set </p>
  
  <pre><code>..../myfolder/subfolder/output/old/p/  
  </code></pre>
  
  <p>as my working directory and process all the files in the same way I do.</p>
  
  <p>EDIT: 
  the full url to the path looks something like this:</p>
  
  <pre><code>https://temp.blob.core.windows.net/myfolder/subfolder/output/old/p/
  </code></pre>