Deep Dive into Iceberg SQL Extensions

Apache Iceberg is an open table format that allows data engineers and data scientists to build reliable and efficient data lakes with features that are normally present only in data warehouses. The project allows companies to substantially simplify their current data lake use cases as well as to unlock fundamentally new ones.This talk will focus on the Iceberg SQL extensions, a recent development in the Iceberg community to efficiently manage tables through SQL. In particular, this session will cover how to snapshot/migrate an existing Hive or Spark table, perform table maintenance, and optimize metadata and data to fully benefit from Iceberg’s rich feature set. In addition, the presentation will cover common pitfalls of running and managing Iceberg tables with tens of millions of files in production and how they can be addressed using SQL extensions.

Topics Covered

Apache Iceberg
Table Formats


Anton Okolnychyi

Anton Okolnychyi

Anton is a committer and PMC member of Apache Iceberg as well as an Apache Spark contributor at Apple.

Ready to Get Started? Here Are Some Resources to Help

Case Study

When E-Commerce Explodes – The More Data the More Dremio

read more


Real-World Strategies to Optimize Data Platform Cost

read more
On-Demand webinar graphic


Centralize Data Security Governance on your Open Data Lakehouse with Dremio & Privacera

read more

Get Started Free

No time limit - totally free - just the way you like it.

Sign Up Now

See Dremio in Action

Not ready to get started today? See the platform in action.

Watch Demo

Talk to an Expert

Not sure where to start? Get your questions answered fast.

Contact Us