Big Data on a Smaller Scale in Healthcare – Data Science Central

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Big data is a term for data sets that are extremely large and complex that only a few short years ago were not capable of being processed with traditional data processing applications. Challenges in big data include the capture, search, sharing, storage, transfer, visualization, querying and privacy, among other concerns. Data sets are growing rapidly because there are increasingly more avenues for data including mobile devices, software logs, cameras, microphones, wireless networks, etc. The massive amounts of data available or "big data" can be overwhelming. The kinds of big data analytics performed by Google, Amazon, Yahoo and many others can be beyond the scope of our understanding or capabilities.