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 is a high throughput, low latency, distributed stream processing engine that enables applications with the highest performance. It is a core component of the Hazelcast In-Memory Computing Platform which provides a suite of capabilities for high performance, distributed computing workloads. Fast access data storage, distributed computation, and real-time event stream processing being chief among these. Jet is a very lightweight and efficient Java library.
This guide includes a discussion on how to submit jobs in embedded mode. For information on submitting jobs in client/server mode, please see the Submitting Jobs in Hazelcast Jet guide.