Decommissioning a Table in Databricks (and Why SSMS Still Matters)

Decommissioning a table in Databricks requires more than just dropping it due to potential dependencies in a hybrid environment. This involves confirming no one is actively querying it, checking for hard dependencies in SQL Server, and updating linked servers, reports, and ETL jobs. Engineers should use Databricks query history, cluster logs, and Unity Catalog access logs, as well as SQL Server query store and sys.dm_exec_query_stats to identify dependencies. This process helps prevent incidents and ensures a smooth migration to Azure.