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.
A common need in trade monitoring platforms is to provide a live feed of individual trading actions and to enrich this view with collated information derived from these actions, such as trade volume since market opening.
This reference architecture paper describes a solution using the Hazelcast In-Memory Computing Platform to ingest, index, and store stock trading data for fast querying. Back office analysts responsible for risk assessment and regulatory compliance get greater visibility into trades in a near-real-time manner without the expense and complexity of a front office system.