Introduction to Apache Iceberg

Date: 2024-12-19

Apache Iceberg is an open-source table format designed to efficiently manage large-scale analytical datasets in data lakes. It overcomes limitations of traditional formats like Hive by offering schema evolution, ACID transactions, and improved performance. Originally developed at Netflix, Iceberg is compatible with various big data engines (Spark, Trino, etc.) and uses a versioned table approach for data reliability and consistency. Key features include snapshot isolation, time travel, and concurrent operations. Iceberg addresses challenges in scalability and data management, providing a robust solution for modern data lake environments. Read more: https://www.javacodegeeks.com/introduction-to-apache-iceberg.html