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 member of the Hazelcast team will be in touch soon regarding next steps. Should you need to reach someone sooner please email: email@example.com
For decades, a sharp divide was drawn between information technology (IT) and operational technology (OT). The former is concerned with enabling data-driven business decisions, and the latter is concerned with monitoring and controlling physical processes, from factory floors to ATM machines, to connected vehicles. Only recently has there emerged a data-centric approach to IoT applications […]
The talk explains the basic principles of time-series data processing and how they affected the design of our TS storage. In this (very) practical talk we are going to discuss technical challenges and design decisions made during the process.
This video walks you through the process of getting started with Hazelcast Cloud Enterprise, the managed service for Hazelcast IMDG.