Stream Processing Essentials Training

While "software is eating the world", those who are able to best manage the huge mass of data will emerge out on the top. The batch processing model has been faithfully serving us for decades. However, it might have reached the end of its usefulness for all but some very specific use-cases. As the pace of businesses increases, most of the time, decision makers prefer slightly wrong data sooner, than 100% accurate data later. Stream processing - or data streaming - exactly matches this usage: instead of managing the entire bulk of data, manage pieces of them as soon as they become available.

  • Feb 16
    Online
    1 day
    08:00 - 16:00
    450 USD

In this workshop, we will invite you to take your first steps to understanding and start working with stream processing! By the end of the course, you will be able to build and run distributed streaming pipelines in Java:
Explain when to use streaming
Design a streaming application from the building blocks
Transform, match, correlate and aggregate continuous data
Scale, deploy, and operate streaming apps
We will also cover the advantages and disadvantages of the stream processing technologies available when approaching real-world problems.

Pre-requisites: a working Java development environment: Java 8+, Maven, any IDE.

Nicolas Fränkel
Developer Advocate, Hazelcast

Developer Advocate with 15+ years experience consulting for many different customers, in a wide range of contexts (such as telecoms, banking, insurances, large retail and public sector). Usually working on Java/Java EE and Spring technologies, but with focused interests like Rich Internet Applications, Testing, CI/CD and DevOps. Currently working for Hazelcast. Also double as a trainer and triples as a book author.

Vladimir Schreiner
Technical Product Manager, Hazelcast

Vladimir is a technical product manager with an engineering background (Master’s degree in Computer science) and deep expertise in stream processing and real-time data pipelines. Ten years of building internal software platforms and development infrastructure have made him passionate about new technologies and finding ways to simplify data processing. Therefore Vladimir joined Hazelcast in 2016 and he is a product guy behind Hazelcast Jet streaming engine. He authored the Understanding Stream Processing DZone Refcard. Vladimir is also a lecturer with the Czechitas Foundation, whose mission is to inspire women and girls to explore the world of information technology.


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