Hi @jcozar ,
Thank you so much for your response 🙂 I have some queries, it will be really helpful if you can share your thoughts.
How are you segregating the tables from raw to bronze? Suppose Debezium is capturing CDCs from 100 tables, all changes are streamed to Eventhub and capture is enabled on Eventhub. If we use autoloader (structured streaming) my dataframe will have events for all the tables. Are you filtering out each table and then writing in bronze individually? If so, how much scalable is this solution if you have any idea. We are looking for implementing this for 500+ tables per Eventhub within Eventhub namespace.

Also, how are you handling schema evolution from source to Eventhub?