For the last decade or so, big data professionals' only option to query their data lakes was to, in some way shape or form, use the Hive model. The Hive model is very simple, but it enabled running queries over files in a distributed file system. The Hive model solved some initial issues facing engineers in big data, but there were quite a few issues with this model. It is very rigid and not able to adapt to changing requirements and SLA’s. This could include updating your schema, changing the fields that are used to partition the data, and much more. Iceberg is a new table format developed at Netflix that aims to replace older table formats like Hive to add better flexibility as the schema evolves, atomic operations, speed, and higher dependability. To be clear, it's not a new file format, as it still uses ORC, Parquet, and Avro, but in table format. Major topics include Iceberg, Trino, a review of Hive & legacy table formats, and use case examples. Meetup: https://www.meetup.com/f7324858-b804-4ed8-ba45-580c262189f1/events/288430613/