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.
Can is one of the founding members of the Hazelcast Jet team and is currently the engineering team lead.
Prior to joining Hazelcast, he worked as a software development consultant to some of the world’s leading investment banks. He has deep interest in distributed systems, stream processing and building high-throughput, low-latency data pipelines. He is also a polyglot programmer with expertise in Java, Python, C# and functional programming.
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We are happy to announce the release of Hazelcast Jet 0.4. This is the first major release since our inital version and has many improvements bringing us closer to our final vision for Jet: Improved streaming support including windowing support with event-time semantics. Out of the box support for tumbling, sliding and session window aggregations. […]
I am happy to announce that after more than one year of hard work, we are ready to release the first public version of Hazelcast Jet – a new open source distributed data processing engine by Hazelcast. Jet is the first new product by Hazelcast, after our well known in-memory data grid (IMDG) offering, and […]
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