Delta Lake is an open-source table format and storage layer that adds ACID transactions, schema enforcement, time travel and efficient upserts (MERGE) to Parquet files on cloud object storage. It is the default table format on Databricks and a foundation of the lakehouse.
A Delta table is a folder of Parquet data files plus a transaction log. The log records every change, which is what enables consistent reads during writes, rollbacks to earlier versions and incremental processing.
Read more about Delta Lake
- Inside the Databricks Lakehouse: Delta Log, Liquid Clustering, Deletion Vectors and Unity CatalogHow Delta's transaction log and concurrency work, plus time travel, deletion vectors, liquid clustering, change data feed, Unity Catalog, Auto Loader and Lakeflow.
- CDC into the Lakehouse: Idempotent MERGE, SCD Type 2, Deletes and Out-of-Order DataEngineering change data capture on Delta Lake: deduplication, sequence guards, soft deletes, SCD2 in one MERGE, rebuilding history for late data, idempotent streams.
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