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.
Risk is currently the driver of many development efforts in the finance industry. When developing financial risk systems you are faced with a number of challenges such as implementation and distribution of complex algorithms, Big Data, class modelling and UX design. Selecting the right technology can help you tremendously and simplify your architectures. Hazelcast® forms the foundation of Sungard’s risk product offering and delivers significant benefits to us in a number of areas. The open architecture allows us to understand and find the optimal solutions to the challenges we are up against.
This webinar aims to give you an overview of our main use cases and how Hazelcast helped us to deliver award-winning risk systems to some of the biggest financial institutions in the world. We will demonstrate how it is used as the execution engine in our analytics grid, our Portable implementation of our security master and market data repository and how we integrate it with Node.js.