Apache Iceberg is an open-source table format for handling big data. It improves the way large, slow-moving tabular datasets are maintained and processed, especially in distributed computing environments. The standout feature of Iceberg is its capacity to track schema evolution, maintaining a snapshot of data history. It supports fine-grained, partition-level transactions that enable high concurrency and write rates. Iceberg works seamlessly with popular query engines like Trino, Spark, and Hive, delivering more accurate query results and reducing the maintenance overhead of data pipelines.