New Features in Oracle Stream Analytics 19.1.0.0.6

April 7, 2021 | 1 minute read
Thomas Vengal
Director, Product Management
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Oracle GoldenGate product development team is pleased to announce the general availability of GoldenGate Stream Analytics 19.1.0.0.6.

Oracle GoldenGate Stream Analytics allows users to process and analyse large scale real-time information by using sophisticated correlation patterns, enrichment, and machine learning. It offers real-time actionable business insight on streaming data and automates action to drive today’s agile businesses.

What’s New in GoldenGate Stream Analytics 19.1.0.0.6?

  • New Technology:
    • Oracle Machine Learning Services (OMLS) Integration
      • Real-time scoring integration with OML Services.
        Note: This is a preview feature with limited support.

         
  • New Targets:
    • ElasticSearch
    • HBase
    • MongoDB
       
  • Productivity Improvements:
    • Full Records automatically generated from GoldenGate’s partial supplemental log data
    • New Continuous Merge Pattern to merge two or more continuous events into a single event based on key attributes
    • Web tier no longer requires integration with Zookeeper.
    • Automatic naming pattern and standardization of Internal Kafka topics
       
  • Security Enhancements:
    • Kafka MTLS Support

 

How to use the latest version?

 

Documentation:

Thomas Vengal

Director, Product Management

Thomas Vengal is Director of Product Management at Oracle. Previously, he worked at Informatica as a product manager and development manager at HP Software. He has been working in the application and data management domain for over 15 years. He holds M.Tech in Data Science from BITS Pilani and an MBA from Perth Graduate School of Business.

LinkedIn Profile: https://www.linkedin.com/in/vengal/

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