CDP Operational Database enables customers to use Spark with a common database through both SQL & NoSQL interfaces using the Spark-HBase and Spark-Phoenix connectors
Users of Cloudera Data Engineering (CDE) on CDP Public Cloud can now deploy, monitor, and operationalize data pipelines with Spark 3 in addition to Spark 2, within the same environment.
Users of Cloudera Data Engineering (CDE) on CDP Public Cloud can now deploy, monitor, and operationalize data pipelines on Microsoft Azure at scale.
CDP makes it trivial to deploy an edge node in AWS & Microsoft Azure to support applications that use CDP Operational Database Experience
When viewing the details of a given ML Workspace from the CDP Management Console, several settings are now updateable.
Pre-Flight Validation Checks are conducted when provisioning a new CML Workspace to more quickly catch any issues.
Admins can now set up customized AMPs that are stored in Azure Repos.
Admins can now define Addons for ML Runtimes, including Spark and Hadoop CLI.
CML now enables Admins to sync Users between the CDP Management Console and a given ML Workspace
Business Users can now be enabled with a streamlined user experience in CML.
Two UI improvements make it even easier to use COD when using Python or accessing HBase client configuration files.
CDP Operational Database adds the ability to add infrastructure tags to underlying compute instances
CDP Operational Database improves autoscaling for better performance and improved resiliency
Apache Hue adds the ability to query Apache Phoenix
CDP Operational Database supports complex x-row/x-table distributed transactions and can run TPC-C benchmarks out of the box.