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.
Learn about in-memory distributed processing for big data with Hazelcast Jet®. Hazelcast Jet is a new Apache 2 licensed open source project that performs parallel execution to enable data-intensive applications to operate in near real-time. Using directed acyclic graphs (DAG) to model relationships between individual steps in the data processing pipeline, Hazelcast Jet is simple to deploy and can execute both batch and stream-based data processing applications.
Can Gencer is the VP of R&D at Hazelcast. He runs Engineering as well as leading the development of advanced technology. As a technology leader with an endless curiosity and an eye for the future, Can has built engineering teams that launched innovative products pushing the boundaries of distributed computing. Previously at Hazelcast, he led the development of Hazelcast Jet, a cutting-edge distributed stateful data processing platform.