Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing?
In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Java Champion, Ben Evans, will provide an introduction to stream processing and teach more about core techniques and how to get started building a stream processing application using real world use cases and live demos.
This webinar will cover:
Ben Evans is an author, entrepreneur, consultant and educator. His career highlights to date include: co-founding jClarity, a performance startup; Chief Architect for Listed Derivatives at Deutsche Bank; performance testing the Google IPO; creating award-winning websites for some of Hollywood’s biggest hits of the 90s; building multibillion dollar low-latency trading systems; and utilising technology to help some of the UK’s most vulnerable people.
He helps run the London Java Community, and represented the user community on Java’s governing body, the JCP Executive Committee, for 6 years. He is a Java Champion and 3-time JavaOne Rock Star Speaker.