As organizations grapple with ever-growing volumes of data, managing and querying large-scale datasets efficiently becomes a critical challenge. Apache Iceberg, an open-source table format for large, slow-changing datasets, emerges as a promising solution to address these Big Data challenges. This session aims to provide a comprehensive understanding of how Apache Iceberg revolutionizes data management, offering insights into its architecture, key features, and real-world applications.

The session will begin by exploring the fundamental issues that arise when dealing with massive datasets, such as schema evolution, data consistency, and performance bottlenecks. Attendees will then delve into the architecture of Apache Iceberg, gaining insights into its unique design principles and how it overcomes traditional limitations.