GDW Special Edition 5
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August 27, 2024
"An Apache Iceberg Lakehouse Crash Course," a comprehensive webinar series designed to deepen your understanding of Apache Iceberg and its role in modern data lakehouse architectures. Over ten sessions, we'll cover everything from the basics of data lakehouses and table formats to advanced topics like partitioning, optimization, and real-time streaming with Apache Iceberg. Don't miss this opportunity to enhance your data platform skills and learn from industry experts.
Learn how to optimize Apache Iceberg tables for better performance and cost efficiency. Topics include: – Techniques for data compaction and clustering – Managing data lifecycle and retention policies – Query acceleration and indexing methods
An Apache Iceberg Lakehouse Crash Course is a 10 part web series designed to help you master Apache Iceberg, a powerful tool in the data lakehouse architecture.
Our expert-led sessions will cover a wide range of topics to build your Apache Iceberg expertise. Each session will offer detailed insights into the architecture and capabilities of Apache Iceberg, along with practical demonstrations.
Whether you’re a data engineer, architect, or analyst, this series will equip you with the knowledge and skills to leverage Apache Iceberg for building scalable, efficient, and high-performance data platforms.
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Apache Polaris is an open-source catalog service purpose-built for managing Apache Iceberg tables in a distributed, multi-engine environment. At its core, Polaris implements the Iceberg REST Catalog API, providing a standardized, cloud-native method for connecting query engines with Iceberg metadata, without requiring tight coupling to storage systems.
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