An Apache Iceberg Lakehouse Crash Course

Join us for "An Apache Iceberg Lakehouse Crash Course" an in-depth webinar series designed to provide a comprehensive understanding of Apache Iceberg and its pivotal role in modern data lakehouse architectures.

Over the course of ten sessions, you'll explore a wide range of topics:

foundational concepts like data lakehouses
table formats to advanced features such as partitioning, optimization, and streaming with Apache Iceberg

Each session will offer detailed insights into the architecture and capabilities of Apache Iceberg, alongside practical demonstrations of data ingestion using tools like Apache Spark and Dremio.

Sessions will be held at 8AM PDT | 11AM EDT | 4PM BST:

What is a Data Lakehouse and What is a Table Format? (On Demand)
The Architecture of Apache Iceberg, Apache Hudi and Delta Lake (On Demand)
The Read and Write Process for Apache Iceberg Tables (On Demand)
Understanding Apache Iceberg’s Partitioning Features (On Demand)
Optimizing Apache Iceberg Tables (On Demand)
Streaming with Apache Iceberg (On Demand)
The Role of Apache Iceberg Catalogs (On Demand)
Versioning with Apache Iceberg (On Demand)
Ingesting Data into Apache Iceberg with Apache Spark (On Demand)
Ingesting Data into Apache Iceberg with Dremio (On Demand)

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.

Register for Webinar Series

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