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?
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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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After releasing Hazelcast Jet 3.0 in May, we are happy to announce its first update, Hazelcast Jet 3.1. Hazelcast Jet is now an Apache Beam Runner Apache Beam is a framework for building distributed batch and stream processing applications over a unified API. The API itself is decoupled from the underlying execution implementation, making it […]
We are happy to announce the first General Availability release of Hazelcast Jet, two years after our first public release and three years after the project first started. We named this version 3.0 to match the current major version of Hazelcast IMDG, which is the underlying technology used in Jet. This version also includes several […]
We are happy to announce the release of Hazelcast Jet 0.7. This release brings lots of new features as well as the launch of our Jet Management Center product. Job Elasticity and Graceful Shutdown In previous versions of Jet, it was possible to automatically restart a job from where it left off using snapshots if […]
We are happy to announce the release of Hazelcast Jet 0.6! This version brings many new improvements which I will try to squeeze into this blog post. Improved streaming support for Pipeline API With 0.5, Jet introduced a new high-level API called Pipelines which offered a convenient way to do distributed data processing using a […]
Hazelcast Jet 0.5 is now publicly available and in many ways is our biggest release yet, with many new features. Just in case this is the first time you are hearing about us, Hazelcast Jet is a distributed computing platform for fast processing of big data sets- steaming and batch. It’s the latest open source […]
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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