Webinar: Best Practices for Stream Ingestion, Processing and Analytics with IMC

With real-time streaming analytics there is no room (or time) for staging or disk.

Denis Magda, GridGain's director of product management and Apache Ignite PMC chair, delivered an excellent webinar Sept. 12 detailing the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite™, GridGain®, Apache Kafka™, Apache Spark™ and other technologies.

The webinar was recorded and it's available for playback (along with the slides) here.

The one-hour presentation explains how to:

  • Optimize stream ingestion from Kafka and other popular messaging and streaming technologies
  • Architect pre-processing and analytics for performance and scalability
  • Implement and tune Apache Ignite or GridGain and Spark together
  • Design to ensure performance for real-time reports 

By the end of this webinar, you’ll understand best practices for stream ingestion, processing and analytics using in-memory computing.

This talk will also be the featured presentation at the Bay Area In-Memory Computing Meetup on Sept. 26 in Menlo Park, Calif. The presenter then will be Valentin (Val) Kulichenko, Lead Architect at GridGain Systems. It's a free event but please RSVP.

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