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.
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 that seeks to bridge the gap between the IT and OT universes. The objective is to create a single, unified data plane that extends across the enterprise, from edge devices right into corporate data centers.
This “edge-to-cloud” approach requires a new software stack that emphasizes low latency, high reliability, and flexible data models. Meeting these challenges lets you deliver business insight and superior operations control at break-neck speed, even over the vast, heterogeneous data sets generated by modern intelligent devices. This webinar presents a modern “edge-to-cloud” reference architecture and discusses strategies for building data-centric IoT applications, with Hazelcast as an example technology.
Lucas is a Principal Solutions Architect at Hazelcast, where he helps Hazelcast’s most demanding customers architect, design, and operationalize enterprise software systems based around Hazelcast IMDG and Jet. Before joining Hazelcast, Lucas held similar positions at GigaSpaces and GridGain, giving him a uniquely broad and deep understanding of the in-memory platform space. Lucas holds a B.S.E. in computer science from the University of Michigan.