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.
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.