Big Data: A Beginner’s Introduction
- Length: 140 pages
- Edition: 1
- Language: English
- Publisher: Routledge India
- Publication Date: 2019-09-25
- ISBN-10: 0367148900
- ISBN-13: 9780367148904
- Sales Rank: #5290261 (See Top 100 Books)
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.
Cover Page 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 Big Data = Competitive Advantage The Challenges The Privacy Debate No Turning Back Notes 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 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 AI Handling Unstructured Challenges We 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 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 4 How do Data Analytics Work? Data Analytics and German win in 2014 FIFA World Cup How Data Analytics Works Analytics: The Need for Business and Technology Teams to Work Together Data 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 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? Big Data can take us Closer to the Goal of Poverty Alleviation Disasters 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 6 Why Big Data Matters Big Data as a Competitive Advantage: The Case of McDonald’s The Use of Big Data Analytics and Innovation – is There a Link? Adopting New Technology – A Choice or A Compulsion? Results may not Come Tomorrow but you have to Invest Today Use of Personal Location Data for Averting Disasters In the Next Chapter Notes 7 The Challenges of Big Data Big Data Failures are Neither Rare Nor Inexpensive: Google Flu Trends Is Analysis Inconsistent with Instincts? An Organization’s Struggles with Data Analytics The Retail Industry’s Struggles The Need for Data Policies In the Next Chapter Notes 8 Big Data: The Key Questions Data is Valuable for Everyone, Including Criminals: The Uber Incident The Big Players and are they Blocking Access to the Playground? Big Data Industries – Winner Takes all The Data Security Challenge UIDAI (Aadhaar) and the Privacy Debate Is Data an Asset and Should we Tax Companies for its Ownership? Should Tech Companies be Allowed to Benefit from User Data? The Dark Side of Data In the Next Chapter Notes 9 Big Data: Is There a Question Mark Over Ethics? Are Social Media a Threat to Democracy? Pricing Manipulation at Online Retailers: It is Legal but is it Ethical? Scenario 1: How Much will you Pay for an Air Ticket? Scenario 2: What is the Right Price for a Book You Need? Free-Market Principles and the Ethics of Business – the Larger Question Big Data and Competition Big Data and Mass Surveillance In the Next Chapter Notes 10 The Future of Big Data A treadmill running faster and faster Big Data and analytics will get stronger Big Data applications will get better Privacy will be an even bigger casualty There will be a regulatory backlash The “psychological impact” will come under more scrutiny Finally, how scientific history will judge Big Data depends on what we do today Notes Epilogue Big Data has arrived Notes Index
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