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Introducing Hazelcast Cloud Enterprise on AWS

Webinar
| Video
| 60 minutes

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.

Key Enhancements of IMDG 4.0

Video
| Video

With our recent release of Hazelcast IMDG 4.0, we would like to invite you to watch this video, where we will discuss the new features in this release at a high level and talk about how you can take advantage of them.

Getting Started with Hazelcast Cloud Enterprise

White Paper

Hazelcast Cloud Enterprise is the new cloud-native managed service that allows you to quickly set up Hazelcast IMDG in a public cloud, fully managed for you by Hazelcast. This tutorial will walk through deployment of Hazelcast Cloud Enterprise on Amazon AWS.

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Looking for info on our live events? We're busy coordinating developer events at the moment, so please check back in a few days for the latest info. In the meantime, check out our free, on-demand training.

Hazelcast: Our Really Big Next Act

Video
| Video

CEO Kelly Herrell breaks down the business drivers and use cases for the Hazelcast Platform while highlighting the company's direction and new branding.

HazelVision Episode 02: Five Minutes to the Cloud

Video
| Video

In this episode, we show how to create a free cloud-based Hazelcast cluster using the Hazelcast Cloud Starter Edition

HazelVision Episode 01: Hazelcast: The First Five Minutes

Video
| Video

In this episode of HazelVision, we cover the basics of installing Hazelcast IMDG using common package managers, starting up a cluster via the Command Line Interface, and writing a simple client program to access the cluster.

Forrester Wave™: Streaming Analytics 2021

Analyst Report

Hazelcast was evaluated as a Strong Performer in this report, and received the top scores possible in the enrichment, throughput, latency and availability criteria. Hazelcast also earned a 3 out of 5 score in the sequencing, aggregates, extensibility, usability, options for deployment, and four other criteria.

Data Has a Half-Life

Video
| Video

In the modern world what makes the difference is the shelf-life of your data analysis. When you run analysis on your data to derive insights, these insights rely on the recency of the data. All you need is a stream processing engine integrated with a fast data store. Changes in core data in the data store flow through streaming analytics to create derived data. If it’s all integrated, performance is excellent for high volume and low latency.

Modernizing a Financial Transaction Infrastructure for Cross-Border Expansion

Case Study

A global bank rolled out a highly scalable, cross-border payment system.

Real-Time Analysis of Driver Behavior Using Machine Learning

Webinar
| Video
| 60 minutes

Understanding driver behavior via the use of connected cars can help organizations make data-driven decisions to reduce safety risks, improve commercial driver productivity, and streamline fleet operations. In this webinar by Hazelcast and Intel, we will show a method for the non-intrusive and real-time detection of visual distraction.

Tech Field Day: Edge, Mainframe, FS Cloud, and ML with Hazelcast, IBM, and Intel

Video
| Video

Dale Kim, Sr. Director of Technical Solutions, will walk through Hazelcast's partnership with IBM and Intel and how they are working together on a number of use cases tied to edge computing, mainframe optimization, IBM Cloud, and more.

Tech Field Day: How Hazelcast Jet Can Monitor Financial Trades

Video
| Video

See how Hazelcast Jet, a real-time streaming engine, can be used by banks and investors to monitor trades. The financial industry must monitor trades in real-time, but traditional solutions delay analysis for batch processing. Hazelcast Jet can process streams of data in real-time for near-real-time visibility with a simplified processing pipeline.