Posted By Andy Boyd On September 10, 2013 @ 10:30 am In Green Data Centers,Webcast | No Comments
Data center efficiency is a topic that is always a top-of-mind. Join us on Thursday, September 26 for a special webinar, “How Big Data Analytics Will Transform Data Center Efficiency “, presented by IO lead sustainability analyst Patrick Flynn.
In this one-hour webinar, Flynn will make the case that the data center is the best and only place we can hope to meet the massive sustainability challenges confronting today’s enterprises and governments. Flynn will describe how data analysis holds the key to energy efficiency, business continuity and a new, better paradigm in performance measurement that will transform infrastructure and IT alike.
Flynn is the Lead Sustainability Strategist at IO. He holds an MBA from the MIT Sloan School of Management as well as a BS in Mechanical Engineering from Stanford University. His work includes identifying, prioritizing and implementing a wide array of projects within IO’s operations and product platform. He is a Professional Engineer (HVAC) and LEED Accredited Professional
Title: How Big Data Analytics Will Transform Data Center Efficiency
Date: Thursday, September 26, 2013
Time: 2 pm Eastern/ 11 am Pacific (Duration 60 minutes, including time for Q&A)
Register: Sign up for the webinar 
Following the presentation, there will be a Q&A session with your industry peers and Patrick. Sign up  today and you will receive further instructions via e-mail about the webinar. We invite you to join the conversation.
Article printed from Data Center Knowledge: http://www.datacenterknowledge.com
URL to article: http://www.datacenterknowledge.com/archives/2013/09/10/dck-webinar-how-big-data-analytics-will-transform-data-center-efficiency/
URLs in this post:
 How Big Data Analytics Will Transform Data Center Efficiency: http://www.datacenterknowledge.com/archives/webinar/how-big-data-analytics-will-transform-data-center-efficiency/
 Andy Boyd: http://www.datacenterknowledge.com/archives/author/andyb/
Copyright © 2012 Data Center Knowledge. All rights reserved.