What's New @ Cloudera
Find the latest Cloudera product news

With the launch of CDP Public Cloud 7.2.15, Cloudera Streaming Analytics for Data Hub deployments has gotten some powerful new features with support for Dead Letter Queues.

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With the launch of CDP Public Cloud 7.2.15, Cloudera Streams Messaging for Data Hub deployments has gotten some powerful new features! Streams Messaging now supports Multi-Availability Zone Deployments enabling High Availability, OAuth2 support for Clients connecting to Kafka Brokers and Schema Registry, Streams Messaging Manager Connect UI Changes, Kafka Connect security features, Debezium CDC Connectors, ability to import Kafka data to Atlas and much more.

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The latest release of Cloudera DataFlow for the Public Cloud (CDF-PC 2.0.0-b302) adds support for NiFi flows that listen for incoming data (e.g. through ListenHTTP, ListenTCP, ListenSyslog processors) and allows users to deploy them in a cloud-native, Kubernetes based runtime with improved monitoring and auto-scaling capabilities. 

 

This release also introduces the latest Apache NiFi 1.16 version as well as additional new features, new ReadyFlows and stability improvements. 

 

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Data warehouse users require constantly improving performance, regardless of data volumes or number of end users, with tools that are ever easier to use. Cloudera just released a capability that answers each of those calls, providing significant performance improvements that apply regardless of scale and that are almost trivial to set up. We are pleased to announce the general availability of Unified Analytics within Cloudera Data Warehouse (CDW) - our cloud native data warehouse service available in Cloudera Data Platform (CDP).

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You can now download the Phoenix Client Jars with a single click directly from the Phoenix Thick client and Phoenix Thin client tabs in the UI.

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With the launch of CDP Public Cloud 7.2.14, Cloudera Streams Messaging for Data Hub deployments has gotten some powerful new features! In this release, the Streams Messaging templates in Data Hub will come with Apache Kafka 2.8 and Cruise Control 2.5 providing new core features and fixes. KConnect has been added and gains additional capabilities with new connectors and Stateless Apache NiFi capabilities which can run NiFi Flows as connectors.  The Schema Registry will now support JSON schemas in addition to the Apache Avro schemas already supported and will gain the ability to perform native API based import and export to share schemas between environments. 

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COD now supports the “Storefile Tracking” (SFT) as an optional feature in Runtime 7.2.14.0.

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COD allows to disable the Kerberos authentication temporarily for HBase clients that run on Cloudera legacy products.

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COD supports custom table coprocessors, which you can implement and extend from HBase coprocessors’ interfaces.

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COD supports RAZ integration from the Runtime version 7.2.11.0. You can grant fine-grained access to directories.

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Starting with the February release (v1.14) of CDE , Apache Iceberg tables are now supported with Spark 3 virtual clusters on AWS. Users can query and work with tables at petabyte scale without impacting query planning, while benefiting from efficient metadata management, snapshotting, and time-travel.

 

 

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The latest release of Cloudera DataFlow for the Public Cloud (CDF-PC 1.1.0-b127) allows Microsoft Azure users to run their Apache NiFi flows in a cloud-native, Kubernetes based runtime with improved monitoring and auto-scaling capabilities. 

 

This release also introduces the following new features for both, AWS and Azure customers:

  • Flow Deployments now support the latest Apache NiFi 1.15 release.
  • CDF now creates Kubernetes clusters with version 1.20 in AWS EKS and Azure AKS.
  • CDF now supports username/password authentication for AWS environments with non-transparent proxy setups.
  • When using the Default NiFi SSL Context Service in a flow deployment, the automatically generated truststore now contains the default cacerts from the local JDK. This ensures that the SSL Context Service can be used with 3rd party applications using certificates from common public certificate authorities.
  • Users can now perform the Download Kubeconfig and Manage User Access actions when an enablement request fails. This allows in-depth troubleshooting of a failed enablement attempt.
  • The following ReadyFlows have been added to the ReadyFlow Gallery:
    ADLS to ADLS Avro ReadyFlow
    Kafka to ADLS Avro ReadyFlow


    Check out the Announcement blog post and learn more about the new features in the CDF-PC documentation and take an interactive tour of CDF-PC

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

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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.

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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.

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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.

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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.

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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

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

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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.  

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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.

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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.

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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.

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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)

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We’re thrilled to announce that all CDP Public Cloud customers now have access to Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows.

 

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform. With a streamlined way to deploy NiFi data flows and a central monitoring dashboard, it is now easier than ever before to operate NiFi data flows at scale in the public cloud.

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CDP Operational Database (COD) provides increased visibility into performance with graphs on P99 get latency, block cache hit ratio, compaction queue size

 

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The Impala Coordinator nodes now support auto-suspend and auto-restart, reducing cost without sacrificing availability.
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Replication Manager dramatically simplifies setup of CDP Operational Database (COD) replication across cloud regions.

 

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COD can now deploy using high performance storage for customers that experience unacceptable latency associated with object storage

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A database can now be created using data from a previously dropped database 

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