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.
Real-time decision-making entails immediately analyzing a comprehensive set of information to take the best action, often without any human intervention. But overwhelming complexity arises from disparate data silos, plus the many moving parts that need to be bolted together in a real-time system.
You end up struggling with low agility, putting your operations at a disadvantage. And you know it doesn’t help to simply add more of the same components to your infrastructure.
In this webinar, you’ll learn how to enable optimal real-time decisions thanks to a low latency, distributed memory architecture for data and computations.
Johnson Noel is a Senior Solutions Architect for Hazelcast. Johnson has 30 years of software industry experience, ranging from pre-sales, architecture and engineering, design, business analysis, implementation, and operations. Most of his time has been focused around database related technologies.