Using Trino And Iceberg As The Foundation Of Your Data Lakehouse

This podcast episode explores the concept of a data lakehouse and its growing popularity in managing large amounts of data and performing complex analytics. The speakers discuss the benefits of using a data lakehouse, such as flexibility, scalability, and user-friendly features like data lineage and observability. They also address the challenges in achieving a cohesive platform experience, particularly in terms of security and access control. The speakers emphasize the need for consolidation and collaboration within the community to improve the overall user experience of the data lakehouse. Additionally, the episode highlights the benefits of using Trino and Iceberg together for data analytics, the progress made in the data lakehouse ecosystem, and the innovative applications of Trino Lakehouse.