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!
Hazelcast Jet (part of the Hazelcast In-Memory Computing Platform) is a high performance, scalable, and fault tolerant stream processing engine built for the highest throughput and lowest latency streaming environments. Job submission in Jet is done either using the Hazelcast Client directly from an application, or via the Hazelcast Command Line Interface (CLI). This guide will walk you through submitting a job to Hazelcast Jet running in client/server mode.