Data Science using Java: Data Science with Spring Data Flow

Data-Scientists are among those analysts who work on big data as structured and unstructured data’s coming from various sources such as internets, OLTP, OLAP, satellites and many mores. The buzzwords in business – and there are many – “Big Data” is one of the most often heard. The burgeoning social web, and the growing role of the internet as the primary information channel of business, has generated more data than we might imagine. Users upload an hour of video data to YouTube every second.3 87% of the U.S. 3 Mayer-Schцnberger and Cukier (2013), p8. They report that USC’s Martin Hilbert calculated that more than 300 exabytes of data storage was being used in 2007, an exabyte being one billion gigabytes, i.e., 1018 bytes, and 260 of binary usage. population has heard of Twitter, and 7% use it.4 Forty-nine percent of 4 In contrast, 88% of the population has heard of Facebook, and 41% use it. See www.convinceandconvert.com/ 7-surprising-statistics-about -twitter-in-america/. Half of Twitter users are white, and of the remaining half, half are black. Twitter users follow some brand or the other, hence the reach is enormous, and, as of 2014, there are more then 500 million tweets a day. But data is not information, and until we add analytics, it is just noise. And more, bigger, data may mean more noise and does not mean better data.