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.
Near-Real-Time Continuous Query with Drilldown for the Back Office
While capital markets trading desks are accustomed to real-time trade analysis systems, back-office analysts typically rely on periodic, intraday updates. This exposes the firm to a level of risk that is no longer necessary.
With the Continuous Query with Drilldown solution, back-office teams get a cost-effective trade monitoring system that delivers on-demand, near-real-time summaries and details of the day’s trade. This lets risk and compliance analysts get an ongoing understanding of daily activities, to let them more effectively do their jobs.