Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This guide is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.
This white paper, written by Java Champion Ben Evans, provides an introduction for architects and developers to Hazelcast®’s distributed computing technology.
Hazelcast Cloud is an enterprise-grade in-memory computing platform deployed and managed by the Hazelcast CloudOps team. The service is powered by Hazelcast IMDG Enterprise HD and leverages widely adopted technologies, such as Docker and Kubernetes, to provide dynamic orchestration and containerization. Hazelcast Cloud supports applications developed in some of the most common languages, including Java, Node.js, Python. Go, and .NET.
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The in-memory speed you count on, with the convenience and scalability of cloud.
DRAM is dirt cheap. That’s why in-memory databases, analytics, and data grids are surging in popularity among firms that have an insatiable need for performance and scalability. But, databases, analytics platforms, and data grids target very different use cases. In-memory data grids, in particular, are often misunderstood because they support an extensive set of use cases that often overlap other technologies. Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast®, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ.
Mike Gualtieri, Principal Analyst at Forrester Research
Mike’s research is focused on software technology, platforms, and practices that enable technology professionals to deliver prescient customer experiences and breakthrough operational efficiency. His key technology and platform coverage areas are big data strategy, Hadoop, advanced analytics, machine learning, data science practices, predictive apps design, and emerging technologies that make software faster and smarter. Mike is also a leading expert on the intersection of business strategy, architecture, design, and creative collaboration.
Mike has more than 25 years’ experience in the industry helping firms design and develop mission-critical applications in eCommerce, insurance, banking, travel/hospitality, manufacturing, healthcare, and scientific research for organizations including Nasa, eBay, Bank of America, Liberty Mutual, Nielsen, EMC, and others. He has written thousands of lines of code, managed development teams, and consulted with dozens of technology firms on product, marketing, and R&D strategy.
Greg Luck, CEO at Hazelcast
Greg has worked with Java for 15 years. He is spec lead of the recently completed JSR107:JCache and the founder of Ehcache. He is a JCP Executive Committee alumni. Prior to Hazelcast, Greg was CTO at Terracotta, Inc which was acquired by Software AG. He was also Chief Architect at Australian travel startup Wotif.com which went to IPO. Earlier roles include consultant at ThoughtWorks and KPMG, and CIO at Virgin Blue, Tempo Services, Stamford Hotels and Resorts, and Australian Resorts. Greg has a Master’s degree in Information Technology from QUT and a Bachelor of Commerce from the University of Queensland.
Ken Kolda, Software Architect at Ellie Mae
Ken has over 20 years of experience developing software professionally and is currently a Software Architect at Ellie Mae, Inc, a leading provider of enterprise software solutions to the Mortgage Banking industry. When Ken started with Ellie Mae in 2003, he was part of the team that created the company’s flagship software platform, Encompass. Today, Ken is helping to design and deliver the “next gen” of Encompass, leveraging the latest generation of tools and technologies to enable the scale required by Ellie Mae’s rapid growth.
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