Big Data For Dummies

ISBN-13: 9781118504222 / Angielski / Miękka / 2013 / 336 str.

Marcia Kaufman

Opis

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.

Spis treści

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

O autorze

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.

Blurb

Learn to:

• Leverage big data tools and architectures
• Explore how big data can transform your business
• Integrate structured and unstructured data into your big data environment
• Use predictive analytics to make better decisions

Here′s the guide that can keep big data from becoming a big headache!

Big data can be a complex concept. For Dummies to the rescue! Here′s a plain–English explanation of what big data is (and isn′t), the technology and database options supporting it, analytics that help you get meaning from your data, how to manage it, and what it can do for your company. Business executive or IT person, here′s what you need to know.

• What it is get your mind around big data from both a technical and business perspective
• Organize it meet the big data stack and learn about different architectural levels, operational databases, organizing databases, and analytical data warehouses
• Big data computing model explore distributed computing as well as the power of virtualization and the cloud
• Hadoop and MapReduce learn the importance of Hadoop and MapReduce for big data analysis
• Get analytical identify analytics tools for big data and evaluate the various new models that are evolving
• Ready? Implement discover how to implement your big data solution with an eye to operationalizing and protecting your data
• What it means see the importance of big data to your organization and how it′s used to solve problems

Open the book and find:

• A definition of big data
• Profiles of various available technologies
• The role of the cloud
• How MapReduce aids big data management
• Why Hadoop is so important
• Some specific uses for text analytics
• How to approach big data security and privacy
• Ten best practices for managing big data