A guide to Apache Iceberg View Federation for portable SQL views across multiple query engines in a data lakehouse.
Guide to implementing Model Context Protocol (MCP) in a lakehouse architecture with Python, covering specification, server building, and deployment.
Explores concurrency and isolation challenges when multiple AI agents query a lakehouse, using Iceberg's optimistic concurrency control and access policies.
Explains mathematically why traditional lakehouses fail AI agents and introduces the agentic lakehouse concept.
Explores using DuckDB and Polars to query and write to Iceberg tables, covering new features, workflows, and practical patterns.
Explains the Apache Software Foundation's history, governance model, and its role in supporting open-source data lakehouse technologies.
Guide on connecting any Apache Iceberg REST Catalog to Dremio Cloud for universal lakehouse data access and management.
Explores how data modeling principles adapt for modern lakehouse architectures using open formats like Apache Iceberg and the Medallion pattern.
A video course covering the fundamentals of lakehouse engineering using Apache Iceberg, Nessie, and Dremio for data management.
