Opening book details…
Can I read Big Data : A Beginner's Introduction on EtoBox?
Big Data : A Beginner's Introduction by Sarangi, Saswat, Sharma, Pankaj is a nonfiction available to read on EtoBox.
What is Big Data : A Beginner's Introduction about?
Cover 1 Half Title 2 Title Page 4 Copyright Page 5 Dedication 6 Table of Contents 8 List of figures 9 The story behind this book 11 Notes 13 Acknowledgments 14 Notes 16 Introduction 20 One small step for man, one giant leap for mankind 20 Information sourcing has changed fundamentally 21 The 21st century: rise of Big Data, computing power and the cloud 21 More information = more data, more data = more analytics 23 Why Big Data is Big Data 24 How accurate are the inferences drawn from Big Data? 24 The path from unstructured data to actionable insights 25 Big Data Applications: they are everywhere 26 Big Data = competitive advantage 27 The challenges 28 The privacy debate 29 No turning back 30 Notes 31 Chapter 1: Big Data: what, why and how 33 Amazon: In the business of selling or in the business of data? 33 What is Big Data? 34 The history 35 The terminology 36 Big Data: getting bigger and bigger, faster and faster 38 In the next chapter 39 Notes 40 Chapter 2: Big Data and AI 42 Artificial intelligence: how is it different? 42 Big Data is at the core of AI 43 AI is unlike other technology 44 AI – interaction of many academic disciplines 45 AI is for decision-making, other technology
Who reads Big Data : A Beginner's Introduction?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sarangi, Saswat, Sharma, Pankaj
- Publisher
- Taylor et Francis Group
- Published
- 2019
- Language
- EN
- ISBN
- 9780429330797
- Category
- nonfiction
- Subjects
- Management, Sociology, Science
More by Sarangi, Saswat, Sharma, Pankaj
Browse all works by Sarangi, Saswat, Sharma, Pankaj
Similar books
- Big Data: A Very Short Introduction — Dawn E. Holmes (2017)
- Big Data: A Primer (Studies in Big Data (11)) — Hrushikesha Mohanty; Prachet Bhuyan; Deepak Chenthati (2015)
- SQL for Data Analysis: A Beginner’s Guide to Querying and Analyzing Big Data — Louis Johanson (2024)
- Data Modeling: A Beginner's Guide — Andy Oppel (2010)
- BIG DATA and DATA ANALYTICS: The Beginner’s Guide to the analytical World — Ronald Davis
- Quantum Computing : a Beginner's Introduction — Parag K Lala (2019)