title: Azure Databricks vs ADLA for processing
body: <p>Presently, I have all my data files in Azure Data Lake Store. I need to process these files which are mostly in csv format. The processing would be running jobs on these files to extract various information for e.g.Data for certain periods of dates or certain events related to a scenario or adding data from multiple tables/files. These jobs run everyday through u-sql jobs in data factory(v1 or v2) and then sent to powerBI for visualization.</p>
  
  <p>Using ADLA for all this processing, I feel it takes a lot of time to process and seems very expensive. I got a suggestion that I should use Azure Databricks for the above processes. Could somebody help me with this direction in the difference between the two and if it would be helpful to shift? Can I modify all my U-sql jobs into the Databricks notebook format?    </p>