Hands-On with Apache Iceberg

Iceberg brings the reliability and simplicity of SQL tables to big data, while also making it possible to safely work with engines like Apache Spark at the same time. In this course, learn how to use Apache Spark and Dremio to get hands-on experience with creating, querying, and maintaining tables in Apache Iceberg. Develop a more comprehensive understanding of Apache Iceberg and its pivotal role in modern data lakehouse architectures. Learn how to configure an Iceberg catalog, create Apache Iceberg tables, insert records into tables, query tables, run maintenance operations, and much more. Upon completing this course, you'll also know how to query different metadata tables in both Spark and Dremio.

Exercise Files on GitHub

More Info