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.
With an increasing number of connected, distributed devices, there has been a gradual shift in how data is processed and analyzed. The trend is also based on the growth of emerging technologies, such as the Internet of Things (IoT), microservices, and event-driven applications, which influence the development of real-time analytics. This Refcard dives into how event stream processing represents this evolution by allowing continuous data analysis in the modern technology landscape.