2014-07-14: In-memory Computing Principles
In-memory Computing Principles - Denver Colorado - Monday July 14, 2014 - 6:00pm MDT.
Galvanize - Monday July 14, 2014 @ 6:00pm MDT
Location: Galvanize: 1062 Delaware St, Denver, CO 80204 - Map: http://bit.ly/UDXUYA
In-memory Computing Principles - Abstract
Overview of general in-memory computing principles and drivers behind it. In-memory computing platforms like GridGain combine clustering, high performance computing, in-memory data grids, streaming and Complex Event Processing (CEP) and Hadoop acceleration into one unified and easy to use platform - delivering unprecedented performance and scalability gains to a wide spectrum of today’s data processing applications. In-memory computing is used by hundreds of companies around the globe in financial industry, mobile payments and in-game merchant platforms, hyper-local advertisement and medical imaging, cognitive analytics and natural language processing applications.
Mac Moore - Bio
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.