Intel Software Adrenaline

Turn Big Data into Big Value—A Practical Strategy

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White Paper Big Data Analytics Turn Big Data into Big Value A Practical Strategy ABSTRACT Some of today's most successful companies achieve game-changing business advantages by capturing, analyzing, and acting upon vast amounts of diverse, fast-moving "big data." This paper describes three usage models that can help you implement a flexible and efficient big data infrastructure to realize competitive advantages in your own business. It also describes Intel innovations in silicon, systems, and software that can help you to deploy these and other big data solutions with optimal performance, cost, and energy efficiency. Abstract. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 The Big Data Opportunity The Big Data Opportunity . . . . . . . . . . . . . . . . . 1 Big data is often compared to a tsunami. Today's five billion cell phone users and nearly one billion Facebook* and Skype* users generate unprecedented volumes of data, and they represent only part of the global online population. Intel estimates that more than 1,500 exabytes (EB) of data—1,500 billion gigabytes—flowed through the cloud in 2012. To put that in perspective, the total number of words spoken in all of human history is estimated at about 5 EB. Usage Model 1—ETL Using Apache Hadoop*. . . . . . . . . . . . . . . . . . . . . . . . . . 3 Infrastructure Considerations. . . . . . . . . . . 3 Usage Model 2—Interactive Queries . . . . . . . 4 Infrastructure Considerations. . . . . . . . . . . 4 Usage Model 3—Predictive Analytics on the Hadoop Platform. . . . . . . . . . . . . . . . . . . 6 Infrastructure Considerations. . . . . . . . . . . 6 Creating a Better Foundation for Big Data Analytics. . . . . . . . . . . . . . . . . . . . . 7 Processor Advances for Performance and Security. . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 New Tools and Optimized Software . . . . . 7 Advanced Power Management for Lower Operating Costs . . . . . . . . . . . . . . . . . 8 Conclusion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Nor have the flood waters of big data begun to level out. We are moving quickly toward the "Internet of things," in which vast numbers of networked sensors in businesses, homes, cars, and public places drive data generation to almost unimaginable levels (Figure 1). Yet comparing big data with a tsunami misses the most important point. Exponential Growth Through 2020 40K Structured Data Exabytes (Billions of GB) Extracting Business Value from Big Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Exponential Growth Semi/Unstructured Data Growth of 400% 0 2006 2008 2010 2012 2014 2016 2018 2020 Figure 1. Current and forecasted growth of big data. Source: Philippe Botteri of Accel Partners, Feb. 2013.

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