Apache Iceberg has become a popular topic in data management lately. It’s a high-performance format for huge analytic tables and is used by various big data compute engines, including Spark, Trino, Presto, Snowflake, and Dremio. As a hugely important table format for big data, ETL tools need to be able to read from and write to the Iceberg format. Many ETL systems utilize Go, but the only public APIs for Iceberg have been written in Python or Java.

This session introduces the official Iceberg Go library, a pure Go implementation of the Apache Iceberg table format. I cover Iceberg’s current capabilities, roadmap, and goals. Learn how you can easily integrate Iceberg into your current Go workflows.