Big data: a beginner's introduction
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Routledge
2020
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031559586&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=031559586&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xvii, 121 Seiten Diagramme |
| ISBN: | 9781138598577 9780367148904 |
Internformat
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Datensatz im Suchindex
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|---|---|
| adam_text | CONTENTS List offigures The story behind this book Acknowledgments Introduction viii x xiii 1 1 Big Data: what, why and how 14 2 Big Data and AI 23 3 What Big Data is not 33 4 How do data analytics work? 40 5 Big Data: the applications 50 6 Why Big Data matters 68 7 The challenges of Big Data 76 8 Big Data: the key questions 83 9 Big Data: is there a questionmark over ethics? 99 10 The future of Big Data 111 Epilogue Index 115 119
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 pase studies (ike 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, aş well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial InteHigènce: Evolution, Ethics and Public Poiiçy, this accessibly written volume is essential for the researcher in scienceand technology studies, media and culture studies, public policy and digital humanities, aş well as being a beacon for the general reader էծ makş sense of the digital agş. ի Saswat Sarangi is a theoretical physicist by training with a PhD from Cornel) 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 ás a quant at Bloomberg and later at Citigroup. He currently works With Invescò in Atlanta, USA. Pankaj Sharma is an engineer from HT Kharagpur, India, with an MBA from the Faculty 1 of Management Studies, University Of Delhi, India. He has more than 15 years of diverse work experience in various leadership roles with global inyestmentŢ artks, ļ Indian equity brokerages, state-owned enterprises and
start-ups. Pankaj turrtėd 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: Wili Modi lAïpPThis was followed by Rafale, Raga, Reuniting Forces for 2019 in the second half of 2018 and The Anatomy of an Indian Generál Election in early 2019. POPULAR SCIENCE / DIGITAL HUMANITIES/ SOCIAL SCIENCES Cover image: © Getty Images
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| indexdate | 2024-12-20T18:45:16Z |
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| isbn | 9781138598577 9780367148904 |
| language | English |
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| title | Big data a beginner's introduction |
| title_auth | Big data a beginner's introduction |
| title_exact_search | Big data a beginner's introduction |
| title_full | Big data a beginner's introduction Saswat Sarangi and Pankaj Sharma |
| title_fullStr | Big data a beginner's introduction Saswat Sarangi and Pankaj Sharma |
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| title_short | Big data |
| title_sort | big data a beginner s introduction |
| title_sub | a beginner's introduction |
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