This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
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.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
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.