Iceberg is a high-performance table format intended for large-scale analytics that ensures easy accessibility of data stored in multiple file formats common in the Hadoop ecosystem for different use cases common in the lakehouse architecture. During this meetup, we’ll assume you’ve never heard of Apache Iceberg and explain the basics: what problems the Apache Iceberg project is addressing, how iceberg works, what features iceberg tables offer and how you can put Iceberg to use in your own data projects that utilize Hive, Spark, or Impala.