docs.delta.io

Enable and configure Delta Lake Change Data Feed and consume it incrementally from a downstream Spark job

Implement Delta Lake RESTORE to roll back a table to a previous version after an erroneous write

Perform a Delta Lake MERGE upsert with WHEN NOT MATCHED BY SOURCE to handle deletes from a CDC source

Run Delta Lake OPTIMIZE with ZORDER clustering to colocate related data and improve query performance

Set Delta Lake VACUUM retention period and safely reclaim storage from old data files

Query a Delta table at a prior version using versionAsOf and timestampAsOf time-travel options

Enable Delta Lake schema enforcement and safely perform schema evolution with mergeSchema

Configure Delta Lake Deletion Vectors to enable row-level deletes without full Parquet file rewrites

Enable Delta Lake liquid clustering to replace static partition-based layouts with adaptive file clustering

Enable and manage Delta Lake liquid clustering to replace static partition schemes

Consume Delta Lake Change Data Feed to build downstream incremental pipelines

Delta Lake OPTIMIZE and VACUUM