A data lakehouse is a modern data architecture that combines the best of data lakes and data warehouses. It supports traditional business intelligence (BI), analytics, and machine learning (ML) workloads, enabling organizations to make informed decisions and drive business value.

In this workshop, you'll learn how to build a data lakehouse using Apache Iceberg on AWS. Through the story of Unicorn EVs, a fictional electric vehicle rental company, you'll tackle real-world data challenges including streaming ingestion, table maintenance, change data capture, medallion architecture, on-demand removal of customers' personal data (e.g., GDPR compliance), ML experiment reproducibility with time travel, and cross-platform analytics.