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.
Dale Kim, Sr. Director of Technical Solutions, will walk through Hazelcast's partnership with IBM and Intel and how they are working together on a number of use cases tied to edge computing, mainframe optimization, IBM Cloud, and more.
See how Hazelcast Jet, a real-time streaming engine, can be used by banks and investors to monitor trades. The financial industry must monitor trades in real-time, but traditional solutions delay analysis for batch processing. Hazelcast Jet can process streams of data in real-time for near-real-time visibility with a simplified processing pipeline.
Sr. Solutions Architect, Terry Walters, will present a vehicle telemetry demo that shows how real-time in-memory technologies from Hazelcast can be used to ensure safe driving at manufacturing plants and beyond.
