Apache Iceberg Crash Course for AWS users: Amazon S3, Athena & AWS Glue ❤️ Iceberg

This crash course provides a comprehensive guide on implementing Apache Iceberg, an open table format, within an AWS environment using Amazon S3, Athena, and AWS Glue to transform a data lake into a data lakehouse. Apache Iceberg acts as a metadata layer that enables reliable transactions, schema evolution, and data management across files in a data lake, supporting petabyte-scale operations. The tutorial walks users through creating and managing Iceberg tables, performing data insertions, updates, and deletions using SQL, and showcases the use of Iceberg's metadata features for enhanced data management. It further explores data ingestion techniques, both in batch and streaming contexts, utilizing AWS services and Kestra's orchestration capabilities to automate and optimize data workflows while addressing common data lake challenges like the "Small Files Problem" through operations like OPTIMIZE and VACUUM. The guide also illustrates how to set up scheduled and event-driven data pipelines with Kestra, highlighting the flexibility and efficiency of integrating Apache Iceberg with AWS for scalable and reliable data processing.