Implementing Enterprise Apache Kafka Platform to Enable Machine Learning

Implementing Enterprise Apache Kafka Platform to Enable Machine Learning

Looking to modernize your enterprise's legacy monolithic systems to support distributed, real-time event-driven architecture?

To build such an architecture, it is essential to develop a universal event-processing framework designed to accommodate transformation into an event-driven architecture (EDA).

Cambridge Technology has partnered with Confluent in helping enterprises to leverage the Apache Kafka platform to change their culture from batch processing to real-time stream processing.

In this webinar, you’ll learn:

  • How Apache Kafka works
  • How to integrate Apache Kafka into your environment
  • Benefits of stream processing and Apache Kafka use cases
  • Apache Kafka architecture & fundamentals 
  • End-to-end Integration from the IoT edge to Confluent Cloud
  • How to leverage an event-driven architecture
  • How to find hidden insights in event data

Presenters

Nitin Tyagi

Vice President, Enterprise Solutions

Peter Buckley

Vice President – Sales

https://ct-vod-solution.s3.us-east-1.amazonaws.com/1-Implementing+Enterprise+Apache+Kafka+platform+to+enable+Machine+Learning+-+Beyond+Prediction+Series.mp4

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