Power Search
Low Price Guarantee
We Take School POs
'Applied Big Data Analytics': Evolution, Platforms & Tools, Use cases, Benefits, Impact and Paradox'
Contributor(s): Roy, Ajit Kumar (Author)

View larger image

 ISBN: 1516963148     ISBN-13: 9781516963140
Publisher: Createspace Independent Publishing Platform
OUR PRICE: $37.99  

Binding Type: Paperback - See All Available Formats & Editions
Published: August 2015
Qty:
Additional Information
BISAC Categories:
- Computers | Data Processing
- Business & Economics | Statistics
Physical Information: 0.76" H x 5.98" W x 9.02" L (1.08 lbs) 368 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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.
 
Customer ReviewsSubmit your own review
 
To tell a friend about this book, you must Sign In First!