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Three Ways to Derive Information From Event Streams – Gartner Report

Analyst Report

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.

Cloud Migration and the Role of In-Memory Technologies

White Paper

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.

Exploring the Edge: 12 Frontiers of Edge Computing – Gartner Report

Analyst Report

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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How to Use Embedded Hazelcast on Kubernetes

Video
| Video

In this video tutorial, Hazelcast cloud software engineer Rafal Leszko walks you through the steps to get Hazelcast running in embedded mode in a Kubernetes cluster.

Hazelcast IMDG C# / .NET Client Code Reference Card

Ref Card
| PDF
| 12 pages

Get up and running with the Hazelcast IMDG C# / .NET Client quickly with this easy to use reference card.

Hazelcast IMDG Python Client

Ref Card
| PDF
| 10 pages

Get up and running with the Hazelcast IMDG Python Client quickly with this easy to use reference card.

Hazelcast IMDG C++ Client

Ref Card
| PDF
| 12 pages

Get up and running with the Hazelcast IMDG C++ Client quickly with this easy to use reference card.

Jet Transaction-Based Systems Reference Architecture

White Paper

Hazelcast is used to accelerate the performance of transaction-based systems (i.e., ones that follow a “request-response” pattern) that have stringent requirements around high throughput and low latency. This paper describes a high performance architecture based on Hazelcast Jet and Hazelcast IMDG.

Real-Time Payment Processing and Fraud Detection for the Mobile Age

White Paper

As payments are increasingly executed using mobile devices, the infrastructure is changing. As always, a multitude of banking channels, financial services providers, payment processors, and payment networks are jockeying for position in a highly competitive ecosystem. This paper discusses the challenges that payment processors face today, along with examples of how leading businesses solve these challenges.

Key Considerations for Optimal Machine Learning Deployments

Webinar
| Video
| 60 minutes

Machine learning (ML) is being used almost everywhere, but the ubiquity has not been equated with simplicity. If you solely consider the operationalization aspect of ML, you know that deploying your models into production, especially in real-time environments, can be inefficient and time-consuming. Common approaches may not perform and scale to the levels needed. These challenges are especially true for businesses that have not properly planned out their data science initiatives.

Hazelcast IMDG Java Client Code Reference Card

Ref Card
| PDF
| 5 pages

Get up and running with Hazelcast IMDG® quickly with this easy to use reference card.

Infinity Data Report

White Paper

The Infinity Data research, commissioned in collaboration with Intel, examines how companies are addressing the challenge imposed by latency. The research was conducted through a survey of more than 350 IT decision-makers in the US and across industries: financial services, e-commerce, telecommunications, energy, and the public sector.