Best Practices for Stream Ingestion, Processing and Analytics Using In-Memory Computing 

With real-time streaming analytics there is no room for staging or disk.  Learn the best practices used for real-time stream ingestion, processing and analytics using Apache® Ignite™, GridGain®, Kafka™, Spark™ and other technologies.  Join GridGain System’s Director of Product Management and Apache Ignite PMC Chair Denis Magda for this 1-hour webinar as he 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.

Presented by
Denis Magda
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member
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