title: Any difference in using databricks table (delta) vs just reading a csv file for doing join?
body: <p>I have a csv file that is used in 2 different Databricks notebooks for doing joins. Which approach is better in terms of performance and maintenance:</p>
  
  <ul>
  <li><p>Use a seperate notebook to create a Databricks delta table of the csv file and then refer to the databricks delta table in the 2 notebooks doing the join</p></li>
  <li><p>Just read in the csv file in each notebook and use it for the join.</p></li>
  </ul>