This article outlines Zeta's approach to building a composable, scalable lakehouse architecture that integrates diverse data sources. It details how they manage data efficiently across multiple accounts while maintaining governance and flexibility for AI-driven workloads.

The article details the release of Apache Polaris 1.3.0, which enhances data governance, visibility, and support for multiple table formats in open lakehouse architectures. Key features include native Iceberg metrics reporting, integration with Open Policy Agent for flexible authorization, and the ability to manage non-Iceberg formats like Delta Lake and Hudi.