Скачать или смотреть Deep Dive into Apache Iceberg | Architecture| Features | Integration with Amazon SageMaker

In this video, we explore the inner workings of Apache Iceberg, a high-performance open table format for huge analytic datasets. You'll learn how Iceberg's architecture is designed for scalability and reliability, and how its core components—manifest files, snapshot lists, metadata layers, and partition evolution—enable powerful table management and performance optimizations.

We break down key concepts like:

Copy-On-Write (COW) vs Merge-On-Read (MOR) approaches
How manifest files track data and enable efficient query planning
The role of snapshots and metadata.json files in ensuring ACID guarantees
How Iceberg enables schema evolution, time travel, and streaming+batch unification

Whether you're a data engineer, architect, or just Iceberg-curious, this video will give you a clear picture of how all these pieces fit together to make Apache Iceberg a modern powerhouse for lakehouse analytics.