Open Source Reliability for Data Lakes
summary
Delta Lake is an open source Parquet-based layer that adds a transactional log and ACID semantics so writes are atomic and updates or failed jobs do not leave corrupt state. It enforces schema, supports merge update and delete for GDPR and changelog workflows, and offers time travel and history for easy rollbacks. Other specifics: file compaction to fix small-file problems, data skipping and ordering for faster predicates, Spark-native APIs, and a Linux Foundation–donated project.
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chapters (8)
- 0:00Start
- 3:06The Common Challenge That We See When It Comes to Reliability
- 3:36The Lack of Quality Enforcement
- 4:09Lack of Consistency
- 8:02Schema Enforcement
- 8:46Performance Optimization
- 11:23Advantage of the Delta Lake
- 14:39Incremental Update
related talks
31mDelta Lake: Open Source Reliability and Quality for Data Lakes
28mLakehouse Architecture with Delta Lake and Databricks
38mGetting Started with Delta Lake
33mThe Pace of Innovation in Delta Lake
44mDeep-Dive into Delta Lake
46mOpen Table Formats in the Wild: From Parquet to Delta Lake and Back
31mSimplifying upserts and deletes on Delta Lake tables
01h 28mBuilding Reliable, Open Lakehouses with Delta Lake
