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!
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Starting with the Hazelcast C++ client 3.6.2, the new API concept of “Raw Pointer” adaptors is introduced. You can now obtain memory ownership of returned object provided by the C++ API and manage object’s memory in your own library. The new API also adds the capability of late deserialization for multiple-value returning APIs such as […]
I am happy to announce that we now added the Continuous Query capability to C++ client with the release of our Hazelcast C++ client version 3.6.2. It is now possible to register an entry listener for a Map that will be triggered only when the specific Map entries that you choose are affected. This allows […]
Whether you're interested in learning the basics of in-memory systems, or you're looking for advanced, real-world production examples and best practices, we've got you covered.
