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!
Dan has had more than 20 years of experience helping customers understand the business value of technologies. His domain expertise spans enterprise software, IoT, ITSM/ITOM, data analytics, mobility, business intelligence, SaaS, content management, predictive analytics, and information lifecycle management. Throughout his career, Dan has worked with companies ranging in size from start-up to Fortune 500 and enjoys sharing insights on business value creation through his contributions to the Hazelcast blog. Dan was born in New York, grew up in Mexico City, and returned to get his B.A. in Economics from the University of Michigan.
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In an ideal world, consumer-facing online businesses would deliver a consistent, efficient, and secure payment processing experience to their customers. Although there are lots of variables in running an e-commerce site, completing the sale is pretty much at the top of the list. When consumers go online to make purchases during a busy period such […]
Transaction processing in today’s global payments networks is what essentially powers the global economy. The framework for transaction processing has expanded and morphed considerably over the past few years as consumers have started using their mobile devices to execute payments. Meanwhile, non-traditional deep-pocketed players like Google and Apple have entered the system with competitive alternatives, […]
The Open Banking initiative, also referred to as PSD2 (Payment Services Directive), is a textbook example of streaming technology applied to modern banking requirements. In this model, banks (primarily in Europe) are required to make their back-end systems for customer accounts and payment services available to other members of the financial payment ecosystem. While this […]
Stream processing refers to real-time management of data entering a banking system (or any information system, actually) at high speed and volume, usually from a broad range of sources. The “management” aspect means data is wholly or partially processed and contextualized before entering an in-memory (operational) system, where pre-processing can significantly accelerate response times. Before […]
Artificial Intelligence (AI) as a concept has been around since the development of computational devices, as early as the creation of Turing machines during World War II. The term itself was first coined by University of Washington professor John McCarthy in 1956, and now, 60+ years later we see the actual commercialization of AI. Why […]
Another massive, transformative technology wave is about to hit, and while this won’t be quite as overt as some of the other waves (e.g., mobility, social media), its effect will be much more pervasive and will hit every consumer, business and industry on multiple levels. The next generation of mobile infrastructure, 5G, is in the […]
There’s a trio of buzzwords that are starting to spend more time in proximity to each other, and are also beginning to surface from the technical to the business world. Each by itself is critical, and when you combine all three, the business-level effect becomes very noticeable. These buzzwords and the business descriptors are: Kubernetes: […]
Knock-knock Your business is already under assault, whether you know it or not. It doesn’t matter whether you’re B2B or B2C; the same technology variables are driving pressure on your IT infrastructure. The growth of the global technology ecosystem has always been organic. While new technologies often layer on top of previous enablers (e.g. mobility […]
The CAP theorem states that for a distributed data store, you cannot simultaneously guarantee more than two out of the following three: Consistency (is it accurate) Availability (is it available) Partitioning (is it distributed) Since the late 90’s, the CAP theorem has largely been accepted as a computer science truth. However, our recent product developments […]
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