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?
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.
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Performant, elastically scalable, and resilient, Hazelcast Jet has been used extensively in financial services for a wide range of real-time use cases. In this webinar, Hazelcast Jet product manager Vladimir Schreiner will provide an overview of Hazelcast Jet, and how it is used at some of the world’s leading banks and credit card providers.
In this webinar Hazelcast Jet product manager, Vladimir Schreiner will provide an overview of Hazelcast Jet, and how it is used at some of the world’s leading banks and credit card providers for:
The webinar will also include a panel session with Lukas Hermann, CGI Systems Architect who will discuss his experience using Jet in production – powering real-time payment systems at a leading European bank. Lukas will discuss how Hazelcast Jet meets his low latency requirements and is serving as the foundation of a CGI payment orchestration solution.
Vladimir is a product manager with an engineering background 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. Vladimir co-authored two white papers on the topic: Understanding Stream Processing: Fast Processing of Infinite and Big Data, and A Reference Guide to Stream Processing. His tutorial video on stream processing and real-time data pipelines discusses the building blocks of a stream processing pipeline and demonstrates how developers can write a full-blown streaming pipeline in less than a hundred lines of Java code for a variety of applications. Vladimir is also a lecturer with the Czechitas Foundation, whose mission is to inspire women and girls to explore the world of information technology. Czechitas Foundation teaches coding in various programming languages, software testing, and data analysis.
Lukáš has worked at CGI for 19 years. In his role of Payment Systems Architect, he is responsible for technical architecture and design, technology evaluations and prototyping.
His team is working on Hazelcast Jet based real-time payment processing solution.