Too big to ignore the business case for big data
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
John Wiley & Sons
c2013.
|
| Edición: | 1st ed |
| Colección: | Wiley & SAS business series.
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849091506719 |
Tabla de Contenidos:
- Intro
- Too Big to Ignore
- Contents
- List of Tables and Figures
- Preface
- Acknowledgments
- Introduction: This Ain't Your Father's Data
- Better Car Insurance through Data
- Potholes and General Road Hazards
- Recruiting and Retention
- How Big Is Big? The Size of Big Data
- Why Now? Explaining the Big Data Revolution
- The Always-On Consumer
- The Plummeting of Technology Costs
- The Rise of Data Science
- Google and Infonomics
- The Platform Economy
- The 11/12 Watershed: Sandy and Politics
- Social Media and Other Factors
- Central Thesis of Book
- Plan of Attack
- Who Should Read This Book?
- Summary
- Notes
- Chapter 1 Data 101 and the Data Deluge
- The Beginnings: Structured Data
- Structure This! Web 2.0 and the Arrival of Big Data
- Unstructured Data
- Semi-Structured Data
- Metadata
- The Composition of Data: Then and Now
- The Current State of the Data Union
- The Enterprise and the Brave New Big Data World
- The Data Disconnect
- Big Tools and Big Opportunities
- Summary
- Notes
- Chapter 2 Demystifying Big Data
- Characteristics of Big Data
- Big Data Is Already Here
- Big Data Is Extremely Fragmented
- Big Data Is Not an Elixir
- Small Data Extends Big Data
- Big Data Is a Complement, Not a Substitute
- Big Data Can Yield Better Predictions
- Big Data Giveth-and Big Data Taketh Away
- Big Data Is Neither Omniscient Nor Precise
- Big Data Is Generally Wide, Not Long
- Big Data Is Dynamic and Largely Unpredictable
- Big Data Is Largely Consumer Driven
- Big Data Is External and "Unmanageable" in the Traditional Sense
- Big Data Is Inherently Incomplete
- Big Overlap: Big Data, Business Intelligence, and Data Mining
- Big Data Is Democratic
- The Anti-Definition: What Big Data Is Not
- Summary
- Notes
- Chapter 3 The Elements of Persuasion: Big Data Techniques.
- The Big Overview
- Statistical Techniques and Methods
- Regression
- A/B Testing
- Data Visualization
- Heat Maps
- Time Series Analysis
- Automation
- Machine Learning and Intelligence
- Sensors and Nanotechnology
- RFID and NFC
- Semantics
- Natural Language Processing
- Text Analytics
- Sentiment Analysis
- Big Data and the Gang of Four
- Predictive Analytics
- Two Key Laws of Big Data
- Collaborative Filtering
- Limitations of Big Data
- Summary
- Notes
- Chapter 4 Big Data Solutions
- Projects, Applications, and Platforms
- Hadoop
- Other Data Storage Solutions
- NoSQL Databases
- NewSQL
- Columnar Databases
- Google: Following the Amazon Model?
- Websites, Start-Ups, and Web Services
- Kaggle
- Other Start-Ups
- Hardware Considerations
- The Art and Science of Predictive Analytics
- Summary
- Notes
- Chapter 5 Case Studies: The Big Rewards of Big Data
- Quantcast: A Small Big Data Company
- Steps: A Big Evolution
- Buy Your Audience
- Results
- Lessons
- Explorys: The Human Case for Big Data
- Better Healthcare through Hadoop
- Steps
- Results
- Lessons
- NASA: How Contests, Gamification, and OpenInnovation Enable Big Data
- Background
- Examples
- A Sample Challenge
- Lessons
- Summary
- Notes
- Chapter 6 Taking the Big Plunge
- Before Starting
- Infonomics Revisited
- Big Data Tools Don't Cleanse Bad Data
- The Big Question: Is the Organization Ready?
- Think Free Speech, Not Free Beer
- Starting the Journey
- Start Relatively Small and Organically
- First Aim for Little Victories
- New Employees and New Skills
- Experiment with Big Data Solutions
- Gradually Gain Acceptance throughout the Organization
- Open Your Mind
- Let the Data Model Evolve
- Tap into Existing Communities
- Realize That Big Data Is Iterative
- Avoiding the Big Pitfalls
- Big Data Is a Binary.
- Big Data Is an Initiative
- Big Data Is a Side Project
- There Is a Big Data Checklist
- IT Owns Big Data
- Remember the Goal
- Summary
- Notes
- Chapter 7 Big Data: Big Issues and Big Problems
- Privacy: Big Data = Big Brother?
- Big Security Concerns
- Big, Pragmatic Issues
- Big Consumer Fatigue
- Rise of the Machines: Big Employee Resistance
- Employee Revolt and the Big Paradox
- Summary
- Notes
- Chapter 8 Looking Forward: The Future of Big Data
- Predicting Pregnancy
- Big Data Is Here to Stay
- Big Data Will Evolve
- Projects and Movements
- The Vibrant Data Project
- The Data Liberation Front
- Open Data Foundation
- Big Data Will Only Get Bigger . . . and Smarter
- The Internet of Things: The Move from Active toPassive Data Generation
- Hi-Tech Oreos
- Hi-Tech Thermostats
- Smart Food and Smart Music
- Big Data: No Longer a Big Luxury
- Stasis Is Not an Option
- Summary
- Notes
- Final Thoughts
- Spreading the Big Data Gospel
- Notes
- Selected Bibliography
- About the Author
- index.
