Big Data For Dummies

Table of contents

1. Cover
2. Title Page
3. Table of Contents
4. Introduction
5. Part I: Getting Started with Big Data
   1. Chapter 1: Grasping the Fundamentals of Big Data
   2. Chapter 2: Examining Big Data Types
   3. Chapter 3: Old Meets New: Distributed Computing
6. Part II: Technology Foundations for Big Data
   1. Chapter 4: Digging into Big Data Technology Components
   2. Chapter 5: Virtualization and How It Supports Distributed Computing
   3. Chapter 6: Examining the Cloud and Big Data
7. Part III: Big Data Management
   1. Chapter 7: Operational Databases
   2. Chapter 8: MapReduce Fundamentals
   3. Chapter 9: Exploring the World of Hadoop
   4. Chapter 10: The Hadoop Foundation and Ecosystem
   5. Chapter 11: Appliances and Big Data Warehouses
8. Part IV: Analytics and Big Data
   1. Chapter 12: Defining Big Data Analytics
   2. Chapter 13: Understanding Text Analytics and Big Data
   3. Chapter 14: Customized Approaches for Analysis of Big Data
9. Part V: Big Data Implementation
   1. Chapter 15: Integrating Data Sources
   2. Chapter 16: Dealing with Real-Time Data Streams and Complex Event Processing
   3. Chapter 17: Operationalizing Big Data
   4. Chapter 18: Applying Big Data within Your Organization
   5. Chapter 19: Security and Governance for Big Data Environments
10. Part VI: Big Data Solutions in the Real World
    1. Chapter 20: The Importance of Big Data to Business
    2. Chapter 21: Analyzing Data in Motion: A Real-World View
    3. Chapter 22: Improving Business Processes with Big Data Analytics: A Real-World View
11. Part VII: The Part of Tens
    1. Chapter 23: Ten Big Data Best Practices
    2. Chapter 24: Ten Great Big Data Resources
    3. Chapter 25: Ten Big Data Do's and Don'ts
12. Glossary
13. Cheat Sheet