The Pace of Innovation in Delta Lake
summary
Delta Lake is an open storage format that delivers ACID transactions on top of Parquet files by maintaining a JSON transaction log that supports snapshot isolation and optimistic concurrency control. It enforces and evolves schemas so streaming appends no longer corrupt tables, provides time travel versioning for audits, rollbacks and reproducible ML experiments (integrates with MLflow), and speeds reads via stats-based data skipping, generated columns and z-ordering. Community release is at 1.2 and more than an exabyte a day runs on it.
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chapters (18)
- 0:00Start
- 2:22Data Lakes
- 4:13Data Engineering Challenges
- 5:56Lack of Schema Enforcement
- 9:52Delta Lake File Structure
- 14:31Multiple Writers
- 15:23How To Maintain the Quality of Data Pipelines
- 16:24Schema Enforcement
- 17:20Schema Evolution
- 18:08Delta Data Versioning
- 20:44Use Cases Rollbacks
- 21:45Data Skipping
- 23:04Generated Columns
- 24:06Z Ordering
- 26:06Summary
- 27:54Get Involved with Delta Lake
- 29:08Data and Ai Summit
- 31:42Retention Policy
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