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Big Data For Dummies

Book Description

Find the right big data solution for your business or organization

Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work.

  • Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals

  • Authors are experts in information management, big data, and a variety of solutions

  • Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more

  • Provides essential information in a no-nonsense, easy-to-understand style that is empowering

  • Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

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