Lakes and Lakehouses: The Evolution of Analytics in the Cloud with AWS

More organizations than ever before are adopting data lakes to drive business outcomes and innovate faster. As data lakes grow in size and scope, data lake architectures have evolved to balance agility, innovation and governance. Amazon Web Services (AWS) is a pioneer in cloud data lakes, to the point where Amazon S3 is now the de facto storage for data lakes. In this session, Rajesh Sampath, General Manager for Amazon S3 API Experience, and Rahim Bhojani, Dremio’s SVP and Head of Engineering, discuss the evolution of data lakes, capabilities required to build a modern data lake architecture, emerging trends, and how organizations turn data into strategic assets.

Session ID: KY202