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!
An In-Memory Computing Platform is predicated on the integration of in-memory technologies, such as an in-memory data grid and in-memory stream processing, which together are complementary to systems of record, aka a database. A system of record provides persistence of data, (which is what it was designed to do), but is poorly suited for today’s high-volume data-streaming environment and the need for immediacy.
In this whitepaper, you will learn how an IMCP helps companies achieve the real-time data processing they need.