Starburst Workshop: Iceberg Ingestion and Table Optimization

Getting data into Iceberg is only half the job. Without ongoing maintenance, tables accumulate small files, stale snapshots, and orphaned data that quietly erode query performance over time.

In this hands-on workshop, Starburst expert Ahmed Niyaz will cover both sides of running Iceberg in production: getting data in reliably, and keeping tables fast once it’s there.

You’ll learn how to:

• Ingest data into Iceberg tables using file and streaming methods
• Automate table maintenance, including compaction and snapshot expiration
• Spot the warning signs of a poorly maintained table before performance suffers
• Build a repeatable optimization workflow instead of reactive firefighting

This is for data engineers and platform teams running Iceberg at scale who want a production-ready workflow, not just a working pipeline.