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Big Data : a Beginner's Introduction.
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Milton :
Taylor & Francis Group,
2019.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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
- 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
- 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
- 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?
- 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
- The use of Big Data analytics and innovation
- is there a link?