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!
Join Christoph Engelbert (Hazelcast®) and Matti Tahvonen (Vaadin) for an introduction on Big Data and Map Reduce. Learn how to store, handle and process large amounts of data. In practice we’ll use Hazelcast and Vaadin to showcase how to do it but everything you learn is generic and you’ll learn about the concepts of handling Big Data.
Christoph is a passionate Java developer with a deep commitment for Open Source software. He mostly is interested in Performance Optimizations and understanding the internals of the JVM and the Garbage Collector. He loves to bring software to its limits by looking into profilers and finding problems inside of the codebase.