Judith S. Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman

Big Data For Dummies (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 336
• Erscheinungstermin: 2. April 2013
• Englisch
• ISBN-13: 9781118644171
• Artikelnr.: 38047061

Autorenporträt

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.

Inhaltsangabe

Introduction 1 Part I: Getting Started with Big Data 7 Chapter 1: Grasping
the Fundamentals of Big Data 9 Chapter 2: Examining Big Data Types 25
Chapter 3: Old Meets New: Distributed Computing 37 Part II: Technology
Foundations for Big Data 45 Chapter 4: Digging into Big Data Technology
Components 47 Chapter 5: Virtualization and How It Supports Distributed
Computing 61 Chapter 6: Examining the Cloud and Big Data 71 Part III: Big
Data Management 83 Chapter 7: Operational Databases 85 Chapter 8: MapReduce
Fundamentals 101 Chapter 9: Exploring the World of Hadoop 111 Chapter 10:
The Hadoop Foundation and Ecosystem 121 Chapter 11: Appliances and Big Data
Warehouses 129 Part IV: Analytics and Big Data 139 Chapter 12: Defi ning
Big Data Analytics 141 Chapter 13: Understanding Text Analytics and Big
Data 153 Chapter 14: Customized Approaches for Analysis of Big Data 167
Part V: Big Data Implementation 179 Chapter 15: Integrating Data Sources
181 Chapter 16: Dealing with Real-Time Data Streams and Complex Event
Processing 193 Chapter 17: Operationalizing Big Data 201 Chapter 18:
Applying Big Data within Your Organization 211 Chapter 19: Security and
Governance for Big Data Environments 225 Part VI: Big Data Solutions in the
Real World 235 Chapter 20: The Importance of Big Data to Business 237
Chapter 21: Analyzing Data in Motion: A Real-World View 245 Chapter 22:
Improving Business Processes with Big Data Analytics: A Real-World View 255
Part VII: The Part of Tens 263 Chapter 23: Ten Big Data Best Practices 265
Chapter 24: Ten Great Big Data Resources 271 Chapter 25: Ten Big Data Do's
and Don'ts 275 Glossary 279 Index 295