Using Apache Iceberg in Cloudera Data Engineering
CDE now supports Apache Iceberg, a new table format for huge analytic datasets in the
cloud. 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 Cloudera Data Engineering virtual
clusters running Spark 3 to interact with Apache Iceberg tables.
Prerequisites Creating Virtual Cluster with Spark 3 Creating a new Iceberg table from Spark 3 Importing and migrating Iceberg table in Spark 3 Configuring Catalog Loading data into an unpartitioned table Querying data in an Iceberg table Iceberg library dependencies for Spark applications 