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portada 'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox'
Type
Physical Book
Author
Publisher
Language
English
Pages
368
Format
Paperback
Dimensions
22.9x15.2x1.9 cm
Weight
0.49 kg.
ISBN13
9781516963140
Categories

'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox'

Ajit Kumar Roy (Author) · Createspace · Paperback

'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox' - Roy, Ajit Kumar

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Synopsis "'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox'"

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' 1History of Big Datahttps: //ssl.images-createspace.com/tsw/img/ajax/choosernav-right_off.gif 2Definitions & Surprising Statistics about Big Data 4Open Source Big Data Analytical Platforms and Tools 5Use Cases & Advantages & Benefits of Big Data 6Impact of Big Data on Business, Economy and Society 7Impact of Big data on Healthcare 8Transforming Social Welfare with Analytics 9The 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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