COD now provides consistently high performance by deploying HDFS to store data.

CDP Operational Database (COD) now supports configuring a storage instance to cache HBase data stored in S3.

CDP Operational Database (COD) supports copying tables from one COD cluster to another.

Cloudera supports upgrading an installed runtime version to an advanced one with downtime.

CDP Operational Database (COD) supports disabling the autonomous functions.

CDP Operational Database (COD) now automatically sets configuration properties for the Cloudera replication plugin.

CDP Operational Database (COD) now supports custom user tags while using CDP CLI Beta.

CDP Operational Database (COD) now supports and deploys HDFS on Cloud Block Storage. COD now provides an updated ‘update-database’ command in CDP CLI Beta.

Cloudera now supports Phoenix access through the Apache Hue SQL assistant.

With CML's multi-version Spark support, CML users can now run different versions of Spark side by side, even within a single project. 

The latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) introduces several new features allowing more Apache NiFi users to run their data flows on CDF-PC.

This includes:

• The ability to deploy NiFi flows which require custom processors / custom controller services
• [Tech Preview] The ability to use CDF-PC on Azure
• Support for AWS setups that use non-transparent proxy servers for outgoing network communication
• Support for private AKS/EKS clusters
• Reduced infrastructure cost through optimized instance use and NiFi deployment sizes
  
  Learn more about the new features in the CDF-PC documentation and take an interactive tour of CDF-PC
  

Different filters such as time range, snapshot name, and command ID are added in COD that enables listing all the HBase snapshots.

A new command ‘--disable-ephemeral-storage’ is added in COD which provides the ability to disable ephemeral storage in CLI.

COD supports DataHub/OpDB deployment across multiple availability zones (Multi-AZ) to ensure high availability.

COD now supports a built-in coprocessor AggregateImplementation, which is a HBase built-in system level coprocessor that computes the aggregate function at a region level.

CDP Operational Database (COD) now supports an auto-scaling algorithm that allows COD to prioritise system operations that results in a reduced cost of infrastructure.

Scale your Kafka Clusters up and down with a push of a button! Monitoring all your Kafka Cluster Replication flows in a single location! View schema's associated to your Kafka Topics while viewing Atlas Data Lineage! You can do all these things now in CSM 7.2.12.

If you are building stream processors for fraud detection, to manage manufacturing quality, detecting network intrusion events, or any other event processing at scale you can now run Cloudera Streaming Analytics right from your desktop - for free.

Customers and data practitioners can now use a self-service, point and click interface to author multi-step data pipelines with little to no code required.

Customers with bursty data pipelines with overlapping  schedules can now leverage Cloudera Data Engineering (CDE) new bin-packing auto-scaling policy for more efficient resource allocation and reduce cost.

Cloudera Data Engineering (CDE) now offers the latest version of Airflow as the default managed scheduling service, which brings with it all the new benefits of Airflow 2.1 including: scheduler speedup of up to 17x, task groups, a new-look UI, and a new way of writing DAGs using the TaskFlow API.

We are excited to announce the general availability of Cloudera Streaming Analytics (CSA) 1.5.0 on CDP Private Cloud Base. This release includes a massive set of updates to SQL Stream Builder (SSB) as well as an update to Flink 1.13.

The latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) introduces the ability to manage flow definitions in the catalog and create flow deployments using the CDP Beta CLI. This allows users to fully automate the flow deployment process and integrate it into their CI/CD pipelines.

In addition to new CLI features, this release also introduces the following new features:

• A new ReadyFlow is available to move data between S3 buckets leveraging S3 bucket notifications.

• DataFlow now supports Cloudera RAZ (fine-grained access control) for object store access.

• The Dashboard, Catalog, and Environments pages now persist search queries and applied filters for a better user experience.

• When deploying a flow definition, you can now select whether the NiFi flow should be started automatically.

Learn more about the new features in the CDF-PC documentation and read our detailed Blog Post to automate flow deployments

An upgrade-database option has been provided in CDP CLI beta that enables the upgrade of the operating system to the latest supported version

Cloudera Machine Learning’s new APIv2 provides all CML users with the ability to programmatically create, read, update and delete projects and workloads, including jobs, models and applications. This means that users can automate creation and setup of projects, or trigger actions such as retraining or deploying a new version of a model as part of the project lifecycle, all from within the product or from an external scheduling or CI/CD tool, using the Python client library or HTTPS REST API.

With the cdpctl command line utility, Cloud Administrators can verify compatibility of existing setups with CDP prior to handing over to the CDP Administrator.  cdpctl now adds support for Microsoft Azure in addition to Amazon Web Services.  

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.

With the release of CDP 7.2.11, it is now super easy to deploy your custom components on your Flow Management DataHub clusters by dropping your components in a bucket of your cloud provider.

With the release of CDP 7.2.11, you now have the possibility to scale up and down both your light duty and heavy duty Flow Management clusters on all cloud providers.

CDP Operational Database expands support for JDBC APIs and SQLAlchemy APIs in Python for Apache Phoenix with support for the getPrimaryKeys and getIndexInfo from the JDBC API through PhoenixDB (along with the SQL Alchemy wrapper APIs)