Valarezo UA1*, Pérez-Amaral T1 and Gijón C2
What if we ask ourselves about what is the operating system and the physical infrastructure behind tools and services people use almost every day, and what is making possible that well-known companies like Google, Yahoo, Bing, Amazon, Facebook, Twitter, LinkedIn, Netflix, etc. are able to deliver such high quality services like they do. What makes possible the increasing accuracy of Google Translator, the appropriate recommendations of Amazon, the contact suggestions of LinkedIn, the Netflix’s hit House of Cards. Of course we have to imagine something much more bigger than the operating system we use at home or within a small company to drive our day to day work.
Though the beginnings of Big Data as hype term are not far away in time, it seems lengthy if we consider how it is evolving from just a technological phenomenon to a new discipline, which comprises many areas of knowledge, challenging not just the directly related ones as computing science, statistics, data science but others less obvious as sociology, ethics, philosophy, etc.
Three goals have driven this work: build our own definition and understanding of Big Data; get experience at using available tools based on related technologies and obtaining an approach about how interested is Spain in dealing with the new challenges Big Data represents.
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