The Data Engineer’s Guide to the Iceberg Data Lakehouse
Download the free eBook
Data engineering in the cloud often means managing complex systems, legacy table formats, and performance issues that accumulate over time.
This ebook is written for data engineers who want a practical, data architectural understanding of Apache Iceberg and how it strengthens modern cloud stacks built around Trino.
You’ll learn how to:
- Understand where legacy architecture, like Hive, still slows you down.
- Evaluate why Iceberg is best for most real-world cloud workloads today.
- Unpack how Iceberg uses metadata to provide improved transactional guarantees.
- Design an Iceberg-based lakehouse that scales analytics and AI without vendor lock-in.
- Pair Iceberg with Trino and managed platforms to reduce operational overhead.
If you spend too much time fighting schema drift, compacting files, or patching ETL jobs, this guide will show how Iceberg streamlines these workflows.
Download the ebook now and start designing a cleaner, more scalable data architecture.
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Download the free eBook
Data engineering in the cloud often means managing complex systems, legacy table formats, and performance issues that accumulate over time.
This ebook is written for data engineers who want a practical, data architectural understanding of Apache Iceberg and how it strengthens modern cloud stacks built around Trino.
You’ll learn how to:
- Understand where legacy architecture, like Hive, still slows you down.
- Evaluate why Iceberg is best for most real-world cloud workloads today.
- Unpack how Iceberg uses metadata to provide improved transactional guarantees.
- Design an Iceberg-based lakehouse that scales analytics and AI without vendor lock-in.
- Pair Iceberg with Trino and managed platforms to reduce operational overhead.
If you spend too much time fighting schema drift, compacting files, or patching ETL jobs, this guide will show how Iceberg streamlines these workflows.
Download the ebook now and start designing a cleaner, more scalable data architecture.
