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Big data requires processing high volumes of low-density, unstructured Hadoop data—that is, data of unknown value, such as Twitter data feeds, click streams on a web page and a mobile app, network traffic, sensor-enabled equipment capturing data at the speed of light, and many more. Big data analytics is the process of examining large and varied data sets -- i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. 11 Feb 2012 Welcome to the Age of Big Data. The new megarich of Silicon Valley, first at Google and now Facebook, are masters at harnessing the data of Explore hot topics and trends in big data. The brightest minds share valuable big data insights in articles, videos and more. Big data will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus--as long as the right policies Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today's technology, it's possible to analyze Read about the difference btw Big Data hype & today's proven Big Data successes from the leader in Big Data Analytics & data warehousing. 12 Feb 2016 Many companies of various sizes believe they have to collect their own data to see benefits from big data analytics, but it's simply not true. IBM data scientists break big data into four dimensions: volume, variety, velocity refer to the infographic Extracting business value from the 4 V's of big data.