Iceberg as the Modern Table Standard at Apple

This session will explore Apache Iceberg as a modern table format that has revolutionized data storage and processing. We’ll dive into its core benefits, such as schema evolution, hidden partitioning and time-travel capabilities, and share how Apple leverages these features to optimize internal workflows.

The session will highlight Iceberg’s interoperability across compute engines commonly used at Apple: Spark, Trino and Flink, as well as its integration with streaming platforms like Kafka where it supports large scale batch and streaming workloads. Finally, we’ll discuss the emerging support for AWS-managed Iceberg metadata, and how this can greatly improve large-scale data workflows, paving the way for future advancements.