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Iceberg revolutionizes data storage within the lakehouse environment by bringing essential ACID (Atomicity, Consistency, Isolation, Durability) properties from relational databases to lakehouse tables. Unlike proprietary data formats, Iceberg stores data in open formats like Parquet, ORC, or AVRO files, ensuring accessibility across a wide range of tools such as Pandas, Dask, Spark, and Trino.
One of Iceberg's key advantages is its ability to facilitate fast querying by understanding the organization of data through features like partitioning, bucketing, and other optimizations. Also, Iceberg offers flexibility through schema evolution, allowing for seamless addition or removal of columns without disrupting existing data pipelines.
Iceberg's time travel capabilities further enhance its appeal, providing users with the ability to track changes to data over time and even revert to earlier states through the concept of snapshots. This functionality offers invaluable insights into data evolution and enables efficient data management within the lakehouse environment.