Efficient, Low Latency Ingestion to Large Tables via Apache Flink and Apache Iceberg

Explore the challenges and solutions for efficient, low-latency data ingestion to large tables using Apache Flink and Apache Iceberg in this 24-minute conference talk. Learn about the tradeoffs between data availability latency and optimization for efficient reading, and discover how the integration of these two Apache projects addresses these challenges. Examine the ongoing projects aimed at balancing frequent commits with optimal file management, including balanced writes and periodic compaction. Gain insights into the development process, coordination between Apache communities, and implementation details. Compare this approach with alternative solutions like Apache Hudi and Apache Paimon, understanding their pros and cons. Witness a brief demo showcasing the possibilities of this integration, presented by Marton Balassi, a Flink PMC member and Engineering Manager at Apple, and Peter Vary, an Apache Iceberg committer and Staff Engineer at Apple.

Efficient, Low Latency Ingestion to Large Tables via Apache Flink and Apache Iceberg