Apache Iceberg on AWS: Athena, S3, and Glue Tutorial

This crash course provides a comprehensive guide on setting up and managing Apache Iceberg on AWS, focusing on creating, querying, and modifying Iceberg tables using Amazon Athena, S3, and AWS Glue. Apache Iceberg is highlighted as an open table format that acts as a metadata layer, enabling reliable transactions, schema evolution, and efficient data management at a petabyte scale. The tutorial walks through creating an Iceberg table, inserting and modifying data, and optimizing data storage to address common challenges like the "Small Files Problem" using SQL statements like OPTIMIZE and VACUUM. It also covers data ingestion methods, including row-by-row inserts and bulk ingestion, using Python scripts and AWS services. Additionally, the course explores scheduling and event-driven data pipelines with Kestra, enabling automation and orchestration of data workflows, while emphasizing the separation of business logic from orchestration. The tutorial concludes with insights on integrating Iceberg with AWS services for scalable data lake management and offers resources for further exploration and community engagement.