What's new in Cloudera Data Warehouse on Public Cloud
Review the new features introduced in this release of Cloudera Data Warehouse (CDW) service on CDP Public Cloud.
What's new in CDW Public Cloud
- Ability to select an instance type for Virtual Warehouses is GA
- You can select AWS or Azure compute instance types, such as
r6id.4xlarge
orStandard_E16_v3
, while creating a Virtual Warehouse, both using CDP CLI and UI. See Creating a Virtual Warehouse.If you select a compute instance type both during environment activation and creating a Virtual Warehouse, then what you select for a Virtual Warehouse takes precedence.
- Improvements to Impala Autoscaler Dashboard
- The following inprovements were introduced for the Impala Autoscaler Dashboard:
- Ability to select the log-level configuration for the autoscaler and autoscaler metrics containers.
- A new “Understanding The Dashboard” page has been added which explains the metrics displayed on the UI and how they are calculated.
- Empty data points that manifest as gaps in the graphs are skipped. Zero values are accurately displayed.
- Ability to view end-of-support information through UI and CDP CLI
- Cloudera Data Warehouse releases reach the end of support every six months. The Cloudera
Data Warehouse UI displays whether your deployment is nearing its end of support time or is
unsupported, enabling you to plan an upgrade. You can also view the upgrade instructions on
the UI. The end of support information is also displayed when you run the
list-clusters
anddescribe-clusters
CDP CLI commands. - Streamlined option for downloading Cloudera Data Warehouse diagnostic bundles
- Cloudera Data Warehouse users can now easily download diagnostic bundles with a direct
Collect option that reduces the need for prior time interval and log
selection adjustments. This update enables faster, more efficient access to relevant
diagnostic data.
For more information, see CDW Diagnostic Bundle Documentation, Downloading CDW and Kubernetes diagnostic bundles and Diagnostic bundles for CDW and Kubernetes.
What's new in CDW on Azure environments
- Azure AKS 1.30 upgrade
- Cloudera supports the Azure Kubernetes Service (AKS) version 1.30. In 1.9.3-b166 (released December 5, 2024), when you activate an Environment, Cloudera Data Warehouse automatically provisions AKS 1.30. To upgrade to AKS 1.30 from an earlier version of Cloudera Data Warehouse, you must backup and restore Cloudera Data Warehouse.
What's new in CDW on AWS environments
- AWS EKS 1.30 upgrade
- Cloudera supports the AWS Elastic Kubernetes Service (EKS) version 1.30. In 1.9.3-b166 (released December 5, 2024), when you activate an Environment, Cloudera Data Warehouse automatically provisions EKS 1.30. To upgrade to EKS 1.30 from an earlier version of Cloudera Data Warehouse, you must backup and restore Cloudera Data Warehouse. For more information about upgrading, see Upgrading an Amazon Kubernetes Service (EKS) cluster.
What's new in Impala on CDW Public Cloud
- Improved log storage location access for S3 and Azure in Cloudera Data Warehouse
- Cloudera Data Warehouse now offers a simplified way to locate Impala diagnostic logs in S3 and Azure. With fewer required identifiers and clear directory paths, users can efficiently access the logs they need. Find details on the updated steps in S3 and Azure.
What's new in Hue on CDW Public Cloud
- Enhanced AI Integration in Hue SQL AI Assistant
- The Hue SQL AI Assistant now supports Cloudera AI Workbench and Cloudera AI Inference
service. These integrations enhance the Hue SQL AI Assistant by enabling the use of private
models hosted within Cloudera-managed infrastructure. This ensures enhanced security and
privacy while leveraging GenAI for the Hue SQL-related tasks.
- Cloudera AI Workbench: This enables you to securely deploy and run your own models within a virtual private cloud. This configuration enhances control and privacy within your environment. For more information, see Configure SQL AI Assistant using Cloudera AI Workbench.
- Cloudera AI Inference service: Helps in a production-grade serving environment for hosting predictive and generative AI models. This service simplifies model deployment and maintenance. For more information, see Configure SQL AI Assistant using Cloudera AI Inference service.