Mastering Apache Iceberg v3: What's New and How to Plan Your Upgrade
Apache Iceberg v3 adds deletion vectors, VARIANT type, row lineage, and table encryption. Here's what changed and how to plan your upgrade.
The archive
657 posts on Apache Iceberg, lakehouse architecture, data engineering and applied AI.
Apache Iceberg v3 adds deletion vectors, VARIANT type, row lineage, and table encryption. Here's what changed and how to plan your upgrade.
Build a custom agentic analytics system using Python, LangChain, and Dremio. A developer tutorial covering SQL tool binding, prompt design, and secure.
Data lakehouses become data swamps without active governance. Learn how schema enforcement, catalog stewardship, and drift detection keep your lakehouse.
Apache Iceberg gives regulated enterprises data sovereignty with hybrid-cloud deployments. Learn how open catalogs and Iceberg handle compliance requirements.
Apache Iceberg doesn't enforce row and column security on its own. Learn how catalog-level governance with Apache Polaris and Dremio delivers enterprise FGAC.
Iceberg snapshot bloat silently kills query performance. Learn the best practices for snapshot expiration, manifest cleanup, and automated table maintenance.
Learn how Apache Iceberg decouples storage from compute to cut data platform costs, enable multi-engine routing, and eliminate proprietary lock-in.
Migrating from a legacy data warehouse to an open lakehouse? This step-by-step playbook covers assessment, phased migration, validation, and avoiding.
The open catalog is the brain of the agentic lakehouse. Learn how Apache Polaris, Dremio's Open Catalog, and catalog-native governance enable reliable AI.
Open lakehouse vs proprietary warehouse: a comprehensive TCO breakdown covering storage, compute, engineering, and hidden costs to help you make the right.