Big Data For Dummies (eBook)

Judith S. Hurwitz, Alan Nugent, Fern Halper, Marcia Kaufman (Autoren)

eBook Download: EPUB

2013 | 1. Auflage
336 Seiten
John Wiley & Sons (Verlag)
978-1-118-64417-1 (ISBN)

Infos

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.

Autor

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.

Inhalt

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 DistributedComputing 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 Data167

Part V: Big Data Implementation 179

Chapter 15: Integrating Data Sources 181

Chapter 16: Dealing with Real-Time Data Streams and ComplexEvent 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 Environments225

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 DataAnalytics: 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

Produkt-Details

• Erscheint lt. Verlag: 2.4.2013
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Office Programme ► Outlook
• Schlagworte: Big Data • Computer-Ratgeber • End-User Computing • Other Software (Non-Microsoft) • Sonstige Software (außer Microsoft) • Sonstige Software (außer Microsoft)
• ISBN-10: 1-118-64417-4 / 1118644174
• ISBN-13: 978-1-118-64417-1 / 9781118644171