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.
While the justification for real-time systems for stock traders is obvious for generating revenue, such systems are a luxury for the back office, where end-of-day analysis is often deemed as acceptable. However, with more risk in this volatile world and more regulations to address, end-of-day, or even periodic intraday analysis leaves too many visibility gaps.
The solution described in this paper provides a cost-effective means for delivering near-real-time trade analysis to the back office. It lets analysts drill down into a set of trades to better understand their firm’s exposure.