Catalog

Leveraging Apache Iceberg for real-time streaming events involves creating a robust transactional data lake that supports frequent data updates with minimal overhead. In this session dive deep into different ways of ingesting and updating real-time and near real-time events to Apache Iceberg tables using streaming options on AWS such as Amazon MSF (Managed Services for Apache Flink), Amazon Data Firehose, and Apache Spark Structured Streaming. Hear about the tradeoffs of these approaches, performance considerations, and best practices for streaming data updates and data deletes in Iceberg tables.