Priyanka Chaudhary

Operating an Iceberg lakehouse at scale means taming the operational overhead that grows with your data. In this chalk talk, we dive into table maintenance strategies—compaction, snapshot expiration, and orphan file cleanup—and discuss how Amazon S3 Tables automates these tasks.

Financial institutions are increasingly looking to consolidate data housed in disparate systems using a data lake, but many find that building a data lake from scratch or migrating an existing OLAP database can be a daunting task. In this session, review a blueprint for deploying, migrating, and taking the first step in setting up a secure and scalable data lake on AWS.

It is common to see multiple Apache Kafka clusters synchronized across geographies for global event processing and business continuity. Continuous, highly available replication of the events and cluster state is at the heart of these architectures.