HI, I have experience using ADF and SSIS. I am now trying to understand and implement Databricks at work. From what I can see ADF has a GUI which is a simple drag and drop which runs on preconfigured spark clusters called Integrated run times. Databricks you have the ability to configure the cluster yourself and program the ETL yourself and do data analytics too at the same time. Databricks is good at processing streaming data. Not sure if ADF can process streaming data.
I have few questions that I need your help to understand
1.) Is writeup above accurate? or anything wrong with my understanding
2.) Especially when you are doing data engineering i.e. ELT/ELT when would you use DataBricks over ADF activities, in real time? A few example scenarios might help.
3.) Can I say Azure databricks is like a stored procedure that can do complex data manipulations in just one script
We are about to start building a Azure synapse warehouse with internal/external sources from data lakes, so wondering in what scenarios I can use Databricks vs ADF activities while creating my pipelines.
Please help. Thanks in advance.