Versioning in Delta tables
In today's world, data is growing day by day and sometimes we need to access the historical data. To access the data for a particular period, data needs to be saved at a point in time, meaning a snapshot of the data at an interval of time. Having such a snapshot will make it easy to audit data changes and perform rollbacks for bad writes or accidentally deleted data.
When the data is written into Delta Lake, every transaction is versioned, and it can be accessed at any point in time. This is called Time Travel. It provides the flexibility to travel back to a previous time and access the data of the current Delta table as it was then. The transaction log contains the versioning information of the Delta table.
Delta Lake always provides backward compatibility, but sometimes suffers from forward-compatibility breaks, meaning a lower version of the Databricks runtime may not be able to read and write data that was written using a higher version of...