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!
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Event stream processing continues to play an increasingly important role in today’s data architectures. This is no surprise, considering that companies are striving to respond faster to ongoing changes in their business environments. However, these companies are still not taking full advantage of the value of their data, typically because they have not planned for the right approaches and architectures for stream processing. Read this Gartner report to learn more.
Hazelcast Cloud delivers enterprise-grade Hazelcast software in the cloud, deployed as a fully managed service. Leveraging over a decade of experience and best practices, Hazelcast Cloud delivers a high-throughput, low-latency service that scales to your needs while remaining simple to deploy. If you’re considering moving to the Cloud, or are looking for an easy ramp on deploying in-memory technology, this white paper on migrating in-memory to the cloud is an informative and helpful resource.
Edge computing complements your cloud deployments by addressing issues related to having data created in remote locations. While businesses today are still in the early stages of edge computing, the expectation is that there will be significant adoption in the next two years. Hazelcast believes now is a good time to explore edge opportunities, and supports such initiatives with in-memory technologies that help drive powerful edge deployments.
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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.
Fraud has become a significant problem across the global payments ecosystem. Regardless of whether you’re a bank, payment processor, card provider, merchant, etc. the impact of fraud is widespread, with broader and deeper consequences as the underlying technology continues to evolve. In this whitepaper, Hazelcast walks through the cause and effect of digital fraud, and how in-memory technology is poised to address this challenge directly. Learn how the Hazelcast in-memory computing platform provides the high-performance environment that payment processors will need to fulfill the market’s needs today and into the future.
The first generation of microservices was envisioned as stateless request-response endpoints. But it's now clear that microservices must often maintain some state. Join us for this webinar where we will discuss why today's business solutions need a next-generation microservices architecture.
This white paper covers relevant topics such as transaction process flows, business use cases, fraud detection, and multi-channel deployment - all based on existing Hazelcast customer deployments.
Learn how the UK’s largest Internet of Things network, British Gas, uses Hazelcast® in-memory data grid to serve over 200,000 homes with a system that allows users to remotely control their heating and hot water temperature from their mobile device or on the Web. British Gas uses Hazelcast IMDG® to store large amounts of data in memory for quick access and integrate that memory store with its current core back-end platform in order to linearly scale to the growing needs of its network.
Learn how Ellie Mae, a leading provider of innovative on-demand software solutions and services for the residential mortgage industry, found a solution in Hazelcast IMDG that enabled them to achieve horizontal scale while continuing to deliver on service level agreements (SLA), allowing them to effectively service larger and more demanding customers.
This case study profiles a major US media company's use of in-memory technology to enable high-volume Machine Learning and Artificial Intelligence applications used to build out 360-degree customer profiles, in real-time, that are used to create chatbots to handle customer support inquiries.
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