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.
Zoltan joined Hazelcast in 2018 as a core engineer. He wrote his first line of Java code in 2000 and has been using the language and the related technologies in his daily work since 2004. Before joining Hazelcast, he had designed and developed components for a wide spectrum of applications including algorithmic trading, online payment and loyalty, fleet tracking, and online self-service systems. Zoltan is passionate about performance and enjoys working on challenges covering lower-level topics such as hardware, operating system, or JVM internals.
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This post was co-authored with Michal Biesek, a software engineer at Intel. It was originally published on the pmem.io blog as well. If interested in Persistent Memory development or PMDK in particular, check the other posts there, too. The mission of the PMDK team has always been and will always be to make programming persistent […]