Best Practices for Stream Ingestion, Processing and Analytics Using In-Memory Computing
About
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.
Speakers
Denis Magda
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member
VP, Developer Relations in R&D at GridGain; Apache Ignite committer and PMC member