Join us for Anatomy of an In-Memory Data Fabric Wed. Jan. 14 @6:30pm MST
Register @ http://bit.ly/1y8j8Pq
Join GridGain in Denver for an evening of networking with Big Data professionals and learning about one of the most important trends in the space -- the real-time enterprise -- at an upcoming Meetup through the Denver In-Memory Computing Group Wednesday, January 14, 2014 at 6:30 PM.
In the presentation titled 'Anatomy of an In-Memory Data Fabric', GridGain Solutions Architect Mac Moore will explain the key technical and business drivers behind the growing use of in-memory technologies for real-time analytics and high-speed transactions, before taking a deeper dive into how an in-memory data fabric actually works.
This is critical information for anyone who wants to stay ahead of the Big Data curve, so head over to the Meetup event page now and RSVP to attend. There will be plenty of networking and Q&A, as well as refreshments and even a prize giveaway, so you won't want to miss this event.
Looking forward to seeing you there.
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Wednesday, January 14, 2015 @ 6:30pm MST
Galvanize: 1062 Delaware Street, Denver, CO
Synopsis
Join us for an evening of networking with Big Data professionals and learning about leading edge technology that is pushing the envelope of what Big Data can do.
In the presentation, we will provide an overview of general in-memory computing principles and the drivers behind it. We will start with a summary of the technical drivers (abundant hardware resources) and market forces (the rise of Big Data). We will cover popular and emerging use cases for in-memory computing, from financial industry trading platforms to mobile payment processing, online advertising, online/mobile gaming back-ends and more. We will then present some foundational concepts and terminology, and discuss considerations around any in-memory solution. From there, we will illustrate how a complete in-memory computing stack like the GridGain Data Fabric combines clustering, high performance computing, in-memory data grids, stream processing and Hadoop acceleration into one unified and easy to use platform.
Speaker Bio: Mac Moore - Solutions Architect, GridGain
As a Solutions Architect at GridGain, Mac helps enterprises improve the scale and performance of their applications and data using various components from the industry leading GridGain In-Memory Computing Platform - including Data Grid, Streaming and Hadoop Accelerator technologies. Prior to joining GridGain, Mac worked with other vendors in the in-memory space and also previously served as a Director of Information Systems in the higher-education sector. He has over 12 years of experience designing, developing, and integrating enterprise systems where performance and scalability are essential.
Register @ http://bit.ly/1y8j8Pq