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Apache Iceberg: The Definitive Guide
Learn how Iceberg tables work, how to optimize them for maximum performance, and how to run interactive, batch, ML, and streaming analytics without duplicating data across proprietary systems.
What's Inside
- The complete Apache Iceberg table architecture, explained from scratch
- Performance optimization techniques for large-scale Iceberg workloads
- Hands-on integration guidance for Apache Spark, Flink, and Dremio
- How to eliminate ETL pipelines and break free from vendor lock-in
By Tomer Shiran, Jason Hughes, and Alex Merced
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What You'll Learn
This book covers Apache Iceberg from the ground up, written by 3 Dremio engineers behind the open lakehouse standards shaping modern data architectures.
How Iceberg Tables Actually Work
This book covers Apache Iceberg from the ground up, written by 3 Dremio engineers behind the open lakehouse standards shaping modern data architectures.
Optimize for Every Workload Type
Learn how to structure, partition, and tune Iceberg tables so that interactive, batch, machine learning, and streaming workloads, all 4 analytics patterns, run against the same data without costly duplication.
Run It with Spark, Flink, and Dremio
Get hands-on guidance for integrating Iceberg with 3 of the most widely used data engines, Apache Spark, Apache Flink, and Dremio, so you can query and manage your lakehouse with tools you already use.
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