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.
Payment processing networks and the ecosystems they drive are the foundation of the global economy. In this webinar, Hazelcast will present how in-memory technology enables the core drivers of both payment processing and the enablement of fraud detection applications, along with specific examples from global leaders in the banking, credit card, and e-commerce domains.
You’ll also get details on how a major bank was able to run multiple fraud detection algorithms at sub-millisecond speeds, how a major credit card provider can process millions of transactions per second while exceeding stringent SLA requirements, as well as how a major e-commerce player was able to reduce transaction processing times from minutes to seconds.
This is cutting-edge technology, applied to processes that billions of people (including you) are using continuously. To find out more about what in-memory technology can deliver, please click on the watch now button.
John DesJardins is currently Field CTO and VP Solution Architecture for North America at Hazelcast, where he is championing the growth of our Developer and Customer Community. His expertise in large scale computing spans Data Grids, Microservices, Cloud, Big Data, Internet of Things, and Machine Learning. He is an active blogger and speaker. John brings over 20 years of experience in architecting and implementing global scale computing solutions, including working with top Global 2000 companies while at Hazelcast, Cloudera, Software AG and webMethods. He holds a BS in Economics from George Mason University, where he first built predictive models, long before that was considered cool.