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.
Faster, smarter, more connected, always-on, boundary-less – this is the experience now expected from financial institutions. Users are demanding today what was considered exceptional yesterday – touchless banking, instant payments, mobile control of all aspects of their finances. Speed and performance have become more critical while reducing costs and increasing agility remains critical.
Hazelcast, IBM, and Intel will walk through an integrated architecture of hardware and software, optimized for Multi-Cloud, Hybrid-Cloud, and Edge, that can deliver on these needs.
They will walk through top use-cases with example architectures, as well as discuss technology and industry trends. You will hear from thought leaders from IBM, Intel, and Hazelcast and have the opportunity to pose questions.
John DesJardins is currently CTO 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.
Parviz Peiravi is a Global CTO for Financial Services Industry Solutions with Intel Corporation responsible for Financial Services Industry solution architecture development. He is primarily responsible for designing and driving the development of Artificial Intelligence, Big Data, Service-Oriented/Microservices Architecture, Cloud, and IoT computing architectures in support of Intel’s focus areas within the Financial Services Industry.
Sean has over 20 experience in IT. He is currently leading a global team of CloudPaks sales leaders whose mission is to bring the best of IBM, Red Hat and our ecosystem partners together so as to unlock the value of the hybrid cloud platforms for your business.