
Apache Iceberg Row Lineage: Tracking Data Lineage at the Row-Level
How Apache Iceberg v3 row lineage tracks row-level changes for CDC, with a tested look at _row_id preservation across Spark 3.5 and Iceberg 1.9 vs 1.10.
Explainers and opinions on Apache Iceberg, CDC and the lakehouse.

How Apache Iceberg v3 row lineage tracks row-level changes for CDC, with a tested look at _row_id preservation across Spark 3.5 and Iceberg 1.9 vs 1.10.

Conflict-free CDC into Apache Iceberg for AI agents: build temporal memory with OLake and ClickHouse and get past the Iceberg read amplification wall.

Learn how to design reliable CDC pipelines into Apache Iceberg, covering ingestion patterns, delete handling, and architecture best practices.

Apache Iceberg observability: use metadata tables to monitor file counts, table growth and schema changes, then add alerts and metrics reporters.

Apache Iceberg v3 adds native Variant and Geospatial types, so structured, semi-structured and spatial data can be stored and queried together.

Why Apache Iceberg leads open table formats for lakehouses: ACID transactions, schema evolution, time travel and multi-engine support at scale.