Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Companies are increasingly generating huge volumes of data at the network edge. Many teams want to use data streaming from the edge to better understand their business. However, it’s not always practical to transmit these growing data volumes from the edge into a centralized data center for processing or analysis. Nor is it easy to process data near the location where it is created, as these edge environments often lack space for computer hardware, or using the available space comes with a big opportunity cost.
Read this white paper from RTInsights to get a better understanding of how you can take advantage of edge computing and create a cost-effective, distributed architecture that provides new opportunities for competitive advantage.