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.
Through conceptual overviews, demos, and hands-on practice, you will learn to create stream processing pipelines using Java and Hazelcast Jet. This class is for advanced Java programmers who want to take their first steps in understanding and working with stream processing as well as for those who are already experienced in building the data processing applications and want to learn more about working with streaming data.
By the end of the course, you will have built and run distributed streaming pipelines to transform, enhance, and aggregate streaming data. You will also be able to discuss various stream processing options in terms of solving real-world, business-related problems.
The course includes the following lessons:
Note that stream processing pipelines are built using Java lambdas. If you are not familiar with this type of coding, you may not be able to complete many of the hands-on exercises without referring to the sample solutions.