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.
Distributed systems and event-driven applications have developers increasingly embracing new technologies that allow businesses to process data in real-time and at scale. Due to the plethora of data sources, many developers now prefer to embed real-time data pipelines to process and transform data into each service and core business application. This modern approach requires a 3rd generation stream processing engine to analyze, distribute and act on events in volume and at extremely low latency.
Hazelcast Jet® is a 3rd generation stream processing engine. In this webinar you’ll find out how easy it is to deploy and get started. Join us to learn how to build batch and stream processing pipelines using the fluent, high-level Java API of Hazelcast Jet.
Using live coding, you’ll learn how to:
Marko Topolnik is a senior engineer in the Jet Core team. He has been with Hazelcast® since 2015, holds a PhD in computer science and has a six-figure score on Stack Overflow.