Cloudera Streaming Analytics (CSA) 1.10 introduces new built-in widget for data visualization and has been rebased onto Apache Flink 1.16

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We are excited to announce the general availability of Cloudera Streaming Analytics (CSA) 1.10.0 on CDP Private Cloud Base. This release includes a massive set of improvements to SQL Stream Builder (SSB), including the addition of built-in widgets for data visualization, as well as a rebase to Flink 1.16.

Some of the key features of this release are:

• Rebase to Apache Flink 1.16 - Apache Flink 1.16 is now supported in CSA 1.10.
• PyFlink Support - The Python API for Flink is now supported in CSA. Customers can now create Flink DataStream applications using Python, besides Java and Scala, to build scalable batch and streaming workloads like real-time data processing pipelines, large-scale exploratory data analysis, Machine Learning (ML) pipelines and ETL processes
• Built-in Widgets for Data Visualization - Built-in data visualization widgets have been added to the SQL Stream Builder (SSB) UI to provide a quick and simple way to visualize data from streaming jobs and materialized views in real-time.
  
  
• Built-in Support for Confluent Schema Registry - New catalog type in SSB to make it very easy to read and write data from Confluent Cloud clusters using their Schema Registry service.
• Flexible Schema Handling for Schema Registry catalogs - Cloudera Schema Registry catalog can now handle separate schemas for message key and payload.

Useful Links

• Documentation
• Release notes
• NEW BLOG: Building a Stateful Intrusion Detection System with SSB
• Cloudera Stream Processing (CSP) Community Edition - Try SSB for free!