Real-Time Big Data Analytics: Emerging Architecture

Real-Time Big Data Analytics: Emerging Architecture

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Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.

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Mike Barlow

Mike Barlow is an award-winning journalist, author and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in numerous industries. Mike is coauthor of The Executive's Guide to Enterprise Social Media Strategy (Wiley, 2011) and Partnering with the CIO: The Future of IT Sales Seen Through the Eyes of Key Decision Makers (Wiley, 2007). He is also the writer of many articles, reports, and white papers on marketing strategy, marketing automation, customer intelligence, business performance management, collaborative social networking, cloud computing, and big data analytics. Over the course of a long career, Mike was a reporter and editor at several respected suburban daily newspapers, including The Journal News and the Stamford Advocate. His feature stories and columns appeared regularly in The Los Angeles Times, Chicago Tribune, Miami Herald, Newsday and other major U.S. dailies.