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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
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industry’s leading in-memory computing platform.
The in-memory speed you count on, with the convenience and scalability of cloud.
Workflow automation is essential for creating scalable business models. However, traditional Business Process Management Systems (BPMS) are often a millstone around developers’ necks. Even worse, their outdated technical architecture fails to meet today’s demand for scalability and resilience.
Camunda is a light-weight, open source platform for workflow and business process automation. It matches up perfectly with Java development and provides powerful business-IT-alignment based on BPMN 2.0. Camunda is written in Java and a perfect match for Java EE and Spring while providing a powerful REST API and script language support. In this webinar, we will show you how it all works and how to configure Camunda with Hazelcast® to achieve scalability and resilience.
Niall Deehan, Consultant at Camunda BPM
Niall Deehan works as a consultant with Camunda BPM. He specializes in the implementation of executable BPMN models within the English-speaking world. His career has involved long stints as both a Java Developer and a Technical Analyst. He sees BPMN (and especially Camunda BPM) as a linguistic bridge between those two disciplines.
Daniel Meyer, Technical Lead at Camunda BPM