eBook
The Data Engineer’s Guide to Apache Iceberg v3
Get started with Iceberg v3 using Starburst
Apache Iceberg v3 provides the best functionality of any Iceberg release to date. But how should you get started?
This book is here to help.
It examines what’s involved in the transition from Iceberg v2 to v3, providing a technical framework for adoption in production environments.
With Iceberg v3 and Starburst you’ll learn how to:
- Optimize row-level operations: Implement faster, more efficient updates using deletion vectors to reduce query overhead and storage bloat.
- Handle semi-structured data: Use the new VARIANT data type and nanosecond timestamps to manage complex, evolving datasets more cleanly.
- Enhance data trust: Leverage built-in row-level lineage to track how individual records change over time for better auditing and debugging.
- Reduce operational risk: Use default column values to simplify schema evolution and ensure backward compatibility across your engine ecosystem.
Register today to download the ebook and get started.
Register
Apache Iceberg v3 provides the best functionality of any Iceberg release to date. But how should you get started?
This book is here to help.
It examines what’s involved in the transition from Iceberg v2 to v3, providing a technical framework for adoption in production environments.
With Iceberg v3 and Starburst you’ll learn how to:
- Optimize row-level operations: Implement faster, more efficient updates using deletion vectors to reduce query overhead and storage bloat.
- Handle semi-structured data: Use the new VARIANT data type and nanosecond timestamps to manage complex, evolving datasets more cleanly.
- Enhance data trust: Leverage built-in row-level lineage to track how individual records change over time for better auditing and debugging.
- Reduce operational risk: Use default column values to simplify schema evolution and ensure backward compatibility across your engine ecosystem.
Register today to download the ebook and get started.
