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.
In this time of economic precariousness, all organizations must closely examine the work they’re doing and how it can make more of an impact. Businesses must also address the performance of their “things”— the delivery trucks on highways, IV infusion pumps in hospitals, machine tools in factories, and other assets producing data that can be used to maximize performance and minimize spending. But many companies are still struggling to understand how to most efficiently and cost-effectively capture data from all of the things at the edge of their business, as well as how to transport that data back to their corporate data center or to the cloud.
Join Hazelcast and Intel for this deep dive into how your organization can create a single, unified data plane that extends all the way from the myriad things at the edge of your business right into your corporate cloud or data center. You’ll learn how to leverage data science and machine learning to:
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.