Apache Iceberg is a new table format that offers both the simplicity of SQL and separation of storage and compute. The Iceberg table format works with any compute engine, so users are not limited to working with a single engine. Popular engines (e.g., Spark, Trino, Flink, and Hive) and modern cloud warehouses (e.g., Snowflake, Redshift, and BigQuery) can work with Iceberg tables at the same time. Jason Reid is a co-founder and heads Product at Tabular. In this episode, Jason walks us through the benefits of using an open table format like Iceberg and how it works with existing analytics infrastructure and tooling of the modern data stack like dbt.
