Hi @AMadan,
โข The best approach for migrating from SQL Server to Databricks depends on specific requirements and use cases.
โข Considerations for each approach:
- Creating Temp Views:
โข Temp views in Databricks are similar to temporary tables in SQL Server
โข Temp views do not persist and are only available for the duration of the Databricks session
โข Can be used in subsequent queries like regular tables
โข Useful for ad hoc analysis or temporary transformations
โข Good approach for complex transformations or multiple queries referencing the same temporary data
- Creating Delta Tables:
โข Delta tables in Databricks provide ACID transactions, time travel, and optimized query performance
โข Delta tables are persisted and can be used across Databricks sessions
โข Useful for storing and managing intermediate or temporary data that needs to be reused or accessed multiple times
โข Provide more flexibility and control over the data compared to temp views
โข Good approach for complex transformations or multiple queries referencing the same temporary data
โข Choice between temp views and delta tables depends on specific requirements and use cases
โข Temp views are suitable for ad hoc analysis or temporary transformations
โข Delta tables offer more control and flexibility over temporary data