Open table formats like Apache Iceberg, Delta Lake, and Apache Hudi are solving the core limitations of traditional data lakes by combining ACID transaction guarantees with the flexibility and cost efficiency of cloud object storage. The video traces the evolution from Hadoop and data warehouses to data lakes, explaining why raw file dumps on S3 lacked schema evolution, time travel, and transactional consistency. It then introduces open table formats as the solution, covering Iceberg's layered metadata architecture (data files, manifest files, manifest lists, metadata files, and catalog), Delta Lake's Databricks integration and transaction log, and Hudi's upsert/CDC-optimized design for real-time ingestion. Key benefits include ACID guarantees, schema evolution, efficient metadata management, time travel, and engine-agnostic interoperability with Spark, Flink, Presto, and Trino.

14m watch time