Best Practices for Building and Operating a Lakehouse on Amazon S3

Flexibility is key when building and scaling a data lake; and choosing the right storage architecture provides you with the agility to quickly experiment and scale. In this session, explore best practices for building and operating a data lake house on Amazon S3, allowing you to use AWS, open-source tools like Iceberg, analytics tools like Dremio, and even Machine Learning to gain insights from your data. Learn how to build, secure, govern, and query your data lake; while optimizing for high performance and low cost.