Build Transactional Datalake on AWS

Revolutionize your data architecture with our cutting-edge workshop on Building Transactional Datalakes on AWS using Apache Iceberg, Glue, Athena, and S3. Learn how to design and implement a highly scalable and efficient data lake that supports transactional capabilities. Discover how Apache Iceberg, an open-source table format, enables ACID transactions, schema evolution, and partition evolution on your data lake. Gain hands-on experience in setting up an Iceberg-based data lake using AWS services like Amazon S3 for storage, AWS Glue for data cataloging and ETL, and Amazon Athena for fast and interactive querying. Explore best practices for data ingestion, partitioning strategies, and performance optimization. Learn how to leverage Iceberg's features to handle data updates, deletes, and time travel. Additionally, understand how to secure your data lake, implement data governance policies, and monitor and troubleshoot your Iceberg-based data lake. By the end of this workshop, you'll have the skills to build and manage a transactional data lake on AWS, enabling real-time data processing, analytics, and machine learning workloads while ensuring data integrity and consistency.