Using Apache Iceberg with Spark
Spark supports Apache Iceberg which provides a table format for huge analytic datasets. Iceberg enables you to work with large tables, especially on object stores, and supports concurrent reads and writes on all storage media. You can use Spark 3 to interact with Apache Iceberg tables.
For more information about using Iceberg with Spark, see Using Apache Iceberg in Cloudera Data Engineering.