Abstract: 

This talk is about using Iceberg tables with Spark to make data products more reliable, easier to maintain, and more performant. This will include an overview of Iceberg tables and how they help you avoid data correctness problems, as well as Iceberg's SQL extensions that make you more efficient.

Bio: 

Ryan is the co-creator of Apache Iceberg and spent the last decade working on big data infrastructure at Netflix, Cloudera, and now Tabular. He is an ASF member and a committer in the Apache Parquet, Avro, and Spark communities.