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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The in-memory speed you count on, with the convenience and scalability of cloud.
Hazelcast®’s “Oracle Coherence Migration Guide” takes a step-by-step approach, comparing all of the main features of Oracle Coherence then introducing the developer to their equivalent in Hazelcast. Each chapter provides a product feature comparison and offers code samples in both Oracle Coherence and in Hazelcast. The migration guide starts with simpler topics such as how to create and configure clusters, and moves on to topics such as Data Structures, Serialization, Queries, Distributed Compute and finally Persistence.
This guide is intended to aid developers migrating from Oracle Coherence to Hazelcast. Readers can use this guide either by following each chapter in order as we build up the application, or as a reference guide for each feature.
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