Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away. Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
In today’s always-on, always mobile payment environment, the need for performance, scalability, stability, and security is more important than ever. Payment processing essentially drives the global economy, and the core technologies that enable it are evolving at an unprecedented rate. Hazelcast in-memory solutions are in use at the worlds most demanding financial services and eCommerce companies, delivering consistent and significant performance improvements while comfortably exceeding even the most stringent SLA requirements. Hazlecast’s white paper “High-Performance Payment Processing and In-Memory Computing” covers relevant topics such as transaction process flows, business use cases, fraud detection, and multi-channel deployment – all based on existing Hazelcast customer deployments.
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