Big Data For Dummies

  • 5h 22m
  • Alan Nugent, Fern Halper, Judith Hurwitz, Marcia Kaufman
  • John Wiley & Sons (US)
  • 2013

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.

About the Authors

Judith Hurwitz is an expert in cloud computing, information management, and business strategy.

Alan Nugent has extensive experience in cloud-based big data solutions.

Dr. Fern Halper specializes in big data and analytics.

Marcia Kaufman specializes in cloud infrastructure, information management, and analytics.

In this Book

  • Big Data for Dummies
  • Introduction
  • Grasping the Fundamentals of Big Data
  • Examining Big Data Types
  • Old Meets New: Distributed Computing
  • Digging into Big Data Technology Components
  • Virtualization and How It Supports Distributed Computing
  • Examining the Cloud and Big Data
  • Operational Databases
  • MapReduce Fundamentals
  • Exploring the World of Hadoop
  • The Hadoop Foundation and Ecosystem
  • Appliances and Big Data Warehouses
  • Defining Big Data Analytics
  • Understanding Text Analytics and Big Data
  • Customized Approaches for Analysis of Big Data
  • Integrating Data Sources
  • Dealing with Real-Time Data Streams and Complex Event Processing
  • Operationalizing Big Data
  • Applying Big Data within Your Organization
  • Security and Governance for Big Data Environments
  • The Importance of Big Data to Business
  • Analyzing Data in Motion: A Real-World View
  • Improving Business Processes with Big Data Analytics: A Real-World View
  • Ten Big Data Best Practices
  • Ten Great Big Data Resources
  • Ten Big Data Do’s and Don’ts
  • Glossary