Big Data

A Beginner's Introduction
1. Auflage 2019
ISBN: 978-0-367-14890-4
Verlag: Routledge India

Buch, Englisch, 140 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 228 g

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.

Zielgruppe

General and Postgraduate

Autoren/Hrsg.

Sarangi, Saswat

Sharma, Pankaj

Fachgebiete

• Sozialwissenschaften Medien- und Kommunikationswissenschaften Medienwissenschaften
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Freizeitsoziologie, Konsumsoziologie, Alltagssoziologie, Populärkultur
• Interdisziplinäres Wissenschaften Wissenschaft und Gesellschaft | Kulturwissenschaften Populärkultur
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Futurologie (Interdisziplinär)
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Mediensoziologie
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Sozialprognosen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data

Inhaltsverzeichnis

1. Big Data: What, Why and How? 2. Big Data and AI 3. What Big Data is not? 4. How Data Analytics works? 5. Big Data: The Applications 6. Why Big Data Matters? 7. The challenges with Big Data 8. Big Data: the Key Questions 9. Big Data: Is there a question mark on ethics? 10. The Future of Big Data.

Über Autor(innen)

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: Modi’s 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.