Today’s enterprises have more data than they can leverage and it is growing fast! Mobile and Cloud Computing require even faster paradigms. Risk must be evaluated in real-time. Welcome to the value of in-memory computing. This meet up will review the lessons learned and powerful uses of the Open Source Apache 2.0 licensed In-Memory Computing solution that provides distributed, clustered, high performance capabilities for OLTP and Data Analytics uses. The presentation will review deployments leveraging streaming data, big data and other velocity and volume challenges.
So if you need to make Hadoop real-time, process 1 billion TPS, analyze and process streaming data sources or achieve your applications performance SLA’s—In-memory is the fastest and most cost effective way to do it!
Join us to hear Dmitriy Setrakyan, co-founder and EVP Engineering of the leading In-Memory solutions from GridGain Systems present what In-Memory Computing is, the uses cases for it and why it is getting so much attention now. His presentation will concentrate on the core capabilities of In-Memory Computing like clustering and high performance computing, in-memory data grid, streaming and Complex Event Processing (CEP), and in-memory Hadoop acceleration.