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|a 9781000650792
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|b .S273 2020
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|a 005.7
|2 23
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|a UAMI
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|a Sarangi, Saswat.
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|a Big Data :
|b a Beginner's Introduction.
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| 260 |
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|a Milton :
|b Taylor & Francis Group,
|c 2019.
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| 300 |
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|a 1 online resource (141 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|b c
|2 rdamedia
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|a online resource
|b cr
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|a Print version record.
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|a Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; List of figures; The story behind this book; Notes; Acknowledgments; Notes; Introduction; One small step for man, one giant leap for mankind; Information sourcing has changed fundamentally; The 21st century: rise of Big Data, computing power and the cloud; More information = more data, more data = more analytics; Why Big Data is Big Data; How accurate are the inferences drawn from Big Data?; The path from unstructured data to actionable insights; Big Data Applications: they are everywhere
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| 505 |
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|a Big Data = competitive advantageThe challenges; The privacy debate; No turning back; Notes; Chapter 1: Big Data: what, why and how; Amazon: In the business of selling or in the business of data?; What is Big Data?; The history; The terminology; Big Data: getting bigger and bigger, faster and faster; In the next chapter; Notes; Chapter 2: Big Data and AI; Artificial intelligence: how is it different?; Big Data is at the core of AI; AI is unlike other technology; AI -- interaction of many academic disciplines; AI is for decision-making, other technology is about better execution
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| 505 |
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|a AI handling unstructured challengesWe may not have all the answers but AI is different and disruptive; The shift from real to virtual and the impact on psychological health; In the next chapter; Notes; Chapter 3: What Big Data is not; Facebook: connecting the world or in the business of data?; Deductive vs. inductive reasoning; Big Data can only offer inductive reasoning; Big Data: prone to abuse; In the next chapter; Notes; Chapter 4: How do data analytics work?; Data analytics and German win in 2014 FIFA World Cup; How data analytics works
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| 505 |
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|a Analytics: the need for business and technology teams to work togetherData analytics -- it can't replace the domain experts; Big Data analysis of future thinking and decision-making; The role of decision makers in interpreting data; In the next chapter; Notes; Chapter 5: Big Data: the applications; Big Data Analytics and "the human genome"; Big Data is revolutionizing the retail industry; Knowing the customer; Big Data is the key to affordable, quality healthcare; Big Data can help governments and authorities; Are central banks relying on more and better data to make policies?
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| 505 |
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|a Big Data can take us closer to the goal of poverty alleviationDisasters can't be prevented but Big Data can help to mitigating the impact; Big Data and how the education sector will undergo changes; Politics, campaigns and elections; Agriculture: Big Data causing a silent revolution in credit availability; Finance: can Big Data help in generating above-average returns?; Why the advertising industry is now embracing Big Data; In the next chapter; Notes; Chapter 6: Why Big Data matters; Big Data as a competitive advantage: the case of McDonald's
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| 505 |
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|a The use of Big Data analytics and innovation -- is there a link?
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| 590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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| 650 |
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|a Big data.
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| 650 |
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|a Données volumineuses.
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| 650 |
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|a Big data
|2 fast
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| 700 |
1 |
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|a Sharma, Pankaj.
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| 758 |
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|i has work:
|a Big Data (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCH6FRwdfcVbBTqwk9khx9P
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Sarangi, Saswat.
|t Big Data : A Beginner's Introduction.
|d Milton : Taylor & Francis Group, ©2019
|z 9781138598577
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| 856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5893774
|z Texto completo
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|a ProQuest Ebook Central
|b EBLB
|n EBL5893774
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| 994 |
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|a 92
|b IZTAP
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