DAT201IntermediateBreakout sessionDatabases 5 live updates

Scaling Data Analytics: Easygo's Modern Lakehouse Journey on AWS

What this session is about

Discover how Melbourne-based Easygo, powering Stake and Kick.com, transformed their data analytics infrastructure to process over 600,000 daily transactions and tens of millions of streaming events. Learn about their implementation of a modern lakehouse architecture combining Amazon Aurora Zero-ETL integration with Amazon Redshift, Amazon Kinesis with AWS Glue streaming, and Apache Iceberg on Amazon S3. Results include 95% faster queries, 80% fewer ingestion incidents, 9 hours weekly maintenance savings, and accelerated global expansion. Explore practical strategies for building scalable, secure data foundations delivering near real-time analytics with robust governance across regulated markets.

Live updates related to this session LIVE

Sourced via Parallel AI Monitor — continuous web watch on 21 topical streams. Updated .

External links matched to this session via topic relevance. The KB does not endorse third-party content; verify before citing.