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SAN FRANCISCO, CA -- (Marketwire) -- 10/17/12 -- Splunk Inc. (NASDAQ: SPLK), the leading provider of software for real-time operational intelligence, today announced Splunk customer Comcast will describe its big data strategy at the O'Reilly Strata + Hadoop World conference in New York. The session, "How Comcast Turns Big Data into Real-time Operational Insights" will take place Wednesday, October 24, at 4:10 p.m. ET.
Comcast will discuss how one of the world's leading media, entertainment and communications companies uses Splunk® software to collect, organize and derive operational intelligence from big data. The speakers will include Raanan Dagan, senior marketing manager of big data for Splunk and Patrick Shumate, principal engineer for Comcast.
"Comcast is analyzing its data in real time to improve the customer experience and get a 360-degree view of customer service," Dagan said. "It is incredible to hear how a company the size of Comcast can do so much with the velocity and variety of data from its operational systems. During the session, we're going to explore how they do it: how they approach big data, what tools they use for analysis and what value they get out of it."
Splunk will exhibit throughout the event at booth #36.
About Splunk Inc.
Splunk Inc. (NASDAQ: SPLK) provides the engine for machine data. Splunk® software collects, indexes and harnesses the machine-generated big data coming from the websites, applications, servers, networks and mobile devices that power business. Splunk software enables organizations to monitor, search, analyze, visualize and act on massive streams of real-time and historical machine data. More than 4,400 enterprises, universities, government agencies and service providers in over 80 countries use Splunk Enterprise to gain operational intelligence that deepens business and customer understanding, improves service and uptime, reduces cost and mitigates cyber-security risk. To learn more, please visit www.splunk.com/company.
Splunk and the engine for machine data are registered trademarks or trademarks of Splunk Inc., and/or its subsidiaries and/or affiliates in the United States and/or other jurisdictions. All other brand names, product names or trademarks belong to their respective holders. © 2012 Splunk Inc. All rights reserved.
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