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Big Data: A Beginner's Introduction [Pehme köide]

, (Whizpace Pte. Ltd.)
  • Formaat: Paperback / softback, 122 pages, kõrgus x laius: 234x156 mm, kaal: 232 g, 1 Tables, black and white; 33 Line drawings, black and white; 33 Illustrations, black and white
  • Ilmumisaeg: 19-Sep-2019
  • Kirjastus: Routledge India
  • ISBN-10: 0367148900
  • ISBN-13: 9780367148904
Teised raamatud teemal:
  • Formaat: Paperback / softback, 122 pages, kõrgus x laius: 234x156 mm, kaal: 232 g, 1 Tables, black and white; 33 Line drawings, black and white; 33 Illustrations, black and white
  • Ilmumisaeg: 19-Sep-2019
  • Kirjastus: Routledge India
  • ISBN-10: 0367148900
  • ISBN-13: 9780367148904
Teised raamatud teemal:

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined.

Drawing on case studies like Amazon, Facebook, the FIFA World Cup and the Aadhaar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how Big Data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands.

The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public Policy, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as being a beacon for the general reader to make sense of the digital age.



Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terrabytes that will continue to shape our lives in ways imagined and unimagined.

List of figures
viii
The story behind this book x
Acknowledgments xiii
Introduction 1(13)
1 Big Data: what, why and how
14(9)
2 Big Data and AI
23(10)
3 What Big Data is not
33(7)
4 How do data analytics work?
40(10)
5 Big Data: the applications
50(18)
6 Why Big Data matters
68(8)
7 The challenges of Big Data
76(7)
8 Big Data: the key questions
83(16)
9 Big Data: is there a question mark over ethics?
99(12)
10 The future of Big Data
111(4)
Epilogue 115(4)
Index 119
Saswat Sarangi is a theoretical physicist by training with a PhD from Cornell University, Ithaca, NY, USA. After his PhD, he was a research scientist at Columbia University, New York City, USA. Saswat started his finance career in New York City working as a quant at Bloomberg and later at Citigroup. He currently works with Invesco in Atlanta, USA.

Pankaj Sharma is an engineer from IIT Kharagpur, India, with an MBA from the Faculty of Management Studies, University of Delhi, India. He has more than 15 years of diverse work experience in various leadership roles with global investment banks, Indian equity brokerages, state-owned enterprises and start-ups. Pankaj turned full-time researcher in late 2016 to do in-depth work on contemporary issues. Earlier, he was a ranked equity analyst with UBS, Citi and JP Morgan. Pankaj has also been a regular contributor to print and electronic media. Pankaj published his first two books in 2017: Demonetization: Modis Political Masterstroke and 2019: Will Modi Win? This was followed by Rafale, Raga, Reuniting Forces for 2019 in the second half of 2018 and The Anatomy of an Indian General Election in early 2019.