Why and How Netflix Created and Migrated to a New Table Format: Iceberg

Netflix created Apache Iceberg to address the performance and the inherent issues as well as usability challenges of using Apache Hive tables in large and demanding data lake environments. In this session, join Ted Gooch, Database Architect at Netflix, as he explains:

  • How Iceberg was developed by Netflix to solve some of the inherent issues in the Hive table format
  • How increased expressive partitioning capability allows for highly selective filters over large data
  • How data marts were required to use data directly in a data lake and how migrating to Iceberg allows workloads with low latency
  • How the flexible format of Iceberg allows for evolution of both schema and partitioning
  • How the separation of logical table from physical layout allows for background optimization of storage

Topics Covered

Table Formats
Unlocking Potential with Apache Iceberg

Ready to Get Started? Here Are Some Resources to Help

Whitepaper Thumb


Harness Snowflake Data’s Full Potential with Dremio

read more
Whitepaper Thumb


Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

read more
Whitepaper Thumb


Dremio Upgrade Testing Framework

read more
get started

Get Started Free

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

Sign Up Now
demo on demand

See Dremio in Action

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

Watch Demo
talk expert

Talk to an Expert

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

Contact Us

Ready to Get Started?

Bring your users closer to the data with organization-wide self-service analytics and lakehouse flexibility, scalability, and performance at a fraction of the cost. Run Dremio anywhere with self-managed software or Dremio Cloud.