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.
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 ReportLearn 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.
Connect with 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.