'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' ajit
by kumar roy
2020-05-06 17:56:42
'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' ajit
by kumar roy
2020-05-06 17:56:42
The impact of data abundance extends well beyond business ensuring funding for social programs. Big Data has the potential to be humanity's dashboard, an intelligent tool that can help combat poverty, crime and pollution. All these burning issues are...
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The impact of data abundance extends well beyond business ensuring funding for social programs. Big Data has the potential to be humanity's dashboard, an intelligent tool that can help combat poverty, crime and pollution. All these burning issues are covered in the following chapters of the book entitled, 'Applied Big Data Analytics: Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' 1 History of Big Datahttps://ssl.images-createspace.com/tsw/img/ajax/choosernav-right_off.gif 2 Definitions & Surprising Statistics about Big Data 4 Open Source Big Data Analytical Platforms and Tools 5 Use Cases & Advantages & Benefits of Big Data 6 Impact of Big Data on Business, Economy and Society 7 Impact of Big data on Healthcare 8 Transforming Social Welfare with Analytics 9 The Future of Big Data & Risks, Challenges and Paradox A recent Accenture and GE study found that almost 90 percent of companies list Big Data analytics as one of their top priorities, and believe that Big Data analytics will shift the competitive landscape within the next three years. The book provides an opportunity for scholars and researchers in big data and health science, business intelligence, social scientists in developments to update their knowledge on the abovementioned issues. The chapters presented is based on an extensive research with the literature from across humanities, social sciences and the sciences and from popular culture, journalism, and industry publications, and based on my lifelong experience of working earlier in Analytics and now in Big Data Analytics as a Statistician.
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