Webinar: Getting Started with Stream Processing

Special Report: How In-Memory Technologies and Machine Learning Catalyze Innovation

When companies cannot effectively process streaming data, many critical events go unnoticed or are spotted too late for timely action. Learn how using modern technologies to process event-streaming IoT data can help companies gain real value from their data assets.

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Resources

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Webinar

Stream Processing Essentials: On-Demand Training

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

Webinar

Hazelcast Jet Briefing for the Financial Services Community

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

Webinar

Introducing Hazelcast Jet – Distributed Stream and Batch Processing

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

White Paper

A Reference Guide to Stream Processing

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.

White Paper

The Crucial Role of Streaming Technology for Business

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.

Blog

The Role of Streaming Technology in Retail Banking

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.

Analyst Report

Three Ways to Derive Information From Event Streams

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.

Analyst Report

Exploring the Edge: 12 Frontiers of Edge Computing

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.

Featured Resources

eBook

Stream Processing: Instant Insight Into Data As It Flows

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.
Special Report

Real-Time Payment Processing for the Mobile Age

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.
Webinar

The Evolution of Stream Processing and Top Use Cases

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.

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About Hazelcast

Hazelcast delivers the System of Now™, an in-memory computing platform that empowers Global 2000 enterprises to deliver innovative, low-latency, data-centric applications. Built for ultra-fast processing at extreme scale, Hazelcast’s cloud-native in-memory data grid and event stream processing technologies are trusted by leading companies such as J.P. Morgan Chase, Charter Communications, Ellie Mae, UBS and National Australia Bank to accelerate business-critical applications.

Hazelcast is headquartered in San Mateo, CA, with offices across the globe. To learn more about Hazelcast, visit https://hazelcast.com.