Hazelcast Stream Processing Solution Center

As the use of streaming processing expands, the right solution represents a critical global business opportunity for insight and innovation. Learn how in-memory processing can optimize stream processing.

Learn about the features and capabilities required to meet the challenges of real-time processing and fraud detection and the role of in-memory technology.

In this webinar, Hazelcast’s team covers 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. Watch now.

Learn how to build and run distributed streaming pipelines to transform, enhance, and aggregate streaming data.

An overview of Hazelcast Jet, and how it is used at some of the world’s leading banks and credit card providers.

Learn about in-memory distributed processing for big data with Hazelcast Jet®.

An introduction for software architects and developers to the domain of stream processing including use cases, building blocks of a stream processing solution, and more.

Gain clear insights into the role steaming data plays in your organization, and what you need to do to harness this in order to succeed.

Real-time streaming for some applications means retail banks need to architect their systems on the assumption that both batch and stream processing will be working together. Learn more.

Event stream processing continues to play an increasingly important role in today’s data architectures. Learn three approaches from Gartner that should fit into your data strategy.

While businesses today are still in the early stages of edge computing, the expectation is that there will be significant adoption in the next two years. Learn about the drivers, twelve categories of edge use cases, and the challenges of edge computing deployments.