Managing Cloudera Data Engineering jobs
Configure users to create jobs
Configuring LDAP users
Deleting LDAP users
Configuring service account key tab to the machine user
Creating jobs
CDE example jobs and sample data
Using Apache Iceberg
Prerequisites and limitations for using Iceberg
Accessing Iceberg tables
Editing a storage handler policy to access Iceberg files on HDFS or S3
Creating a SQL policy to query an Iceberg table
Creating Virtual Cluster with Spark 3
Creating and running Spark jobs using Iceberg tables
Creating a new Iceberg table from Spark 3
Configuring Hive Metastore for Iceberg column changes
Importing and migrating Iceberg table in Spark 3
Importing and migrating Iceberg table format v2
Configuring Catalog
Loading data into an unpartitioned table
Querying data in an Iceberg table
Updating Iceberg table data
Iceberg library dependencies for Spark applications
Creating a Git repository in Cloudera Data Engineering (Technical Preview)
Managing jobs
Running jobs
Scheduling Jobs
Creating ad-hoc jobs
Deleting Jobs
Best practices for building Apache Spark applications