This position paper addresses the technical foundation and non-technical framework of Big Data. A new era of data analytics promises tremendous value on the basis of cloud computing technology. Can our models scale to rapidly growing data? Can we perform predictive analytics in real-time? How do we efficiently deal with bad data? Some practical examples as well as open research questions are discussed.
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