This short video explains why companies use Hazelcast for business-critical applications based on ultra-fast in-memory and/or stream processing technologies.
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.
Now, deploying Hazelcast-powered applications in a cloud-native way becomes even easier with the introduction of Hazelcast Cloud Enterprise, a fully-managed service built on the Enterprise edition of Hazelcast IMDG. Can't attend the live times? You should still register! We'll be sending out the recording after the webinar to all registrants.
The business use case we’ll use for this demonstration is a Trade Monitoring application for middle-office and back-office teams in a capital markets trading firm.
This application provides a cost-effective solution for achieving near real-time visibility of trading activity to the risk and compliance teams. The middle- and back-office teams don’t need a continuous view of trades, but they do need an on-demand, up-to-date view.
The solution shown can provide on-demand views without the large technology infrastructure for real-time monitoring systems that the front-office teams need.