This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
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.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
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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