Big Data Analytics - Turning Big Data Into Big Money

Informationen zum Autor FRANK J. OHLHORST is an award-winning technology journalist, professional speaker, and IT business consultant with over twenty-five years of experience in the technology arena. He has written for several leading technology publications, speaks at many industry conferences, and has several industry certifications. Klappentext Unique insights to implement big data analytics and reap big returns to your bottom lineFocusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities.* Reveals big data analytics as the next wave for businesses looking for competitive advantage* Takes an in-depth look at the financial value of big data analytics* Offers tools and best practices for working with big dataOnce the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy. Zusammenfassung Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. Inhaltsverzeichnis Preface ix Acknowledgments xiii Chapter 1 What Is Big Data? 1 The Arrival of Analytics 2 Where Is the Value? 3 More to Big Data Than Meets the Eye 5 Dealing with the Nuances of Big Data 6 An Open Source Brings Forth Tools 7 Caution: Obstacles Ahead 8 Chapter 2 Why Big Data Matters 11 Big Data Reaches Deep 12 Obstacles Remain 13 Data Continue to Evolve 15 Data and Data Analysis Are Getting More Complex 17 The Future Is Now 18 Chapter 3 Big Data and the Business Case 21 Realizing Value 22 The Case for Big Data 22 The Rise of Big Data Options 25 Beyond Hadoop 27 With Choice Come Decisions 28 Chapter 4 Building the Big Data Team 29 The Data Scientist 29 The Team Challenge 30 Different Teams, Different Goals 31 Don't Forget the Data 32 Challenges Remain 32 Teams versus Culture 34 Gauging Success 35 Chapter 5 Big Data Sources .37 Hunting for Data 38 Setting the Goal 39 Big Data Sources Growing 40 Diving Deeper into Big Data Sources 42 A Wealth of Public Information 43 Getting Started with Big Data Acquisition 44 Ongoing Growth, No End in Sight 46 Chapter 6 The Nuts and Bolts of Big Data 47 The Storage Dilemma 47 Building a Platform 52 Bringing Structure to Unstructured Data 57 Processing Power 59 Choosing among In-house, Outsourced, or Hybrid Approaches 61 Chapter 7 Security, Compliance, Auditing, and Protection 63 Pragmatic Steps to Securing Big Data 64 Classifying Data 65 Protecting Big Data Analytics 66 Big Data and Compliance 67 The Intellectual Property Challenge 72 Chapter 8 The Evolution of Big Data 77 Big Data: The Modern Era 80 Today, Tomorrow, and the Next Day 84 Changing Algorithms 90 Chapter 9 Best Practices f...

List of contents

Preface ix
 
Acknowledgments xiii
 
Chapter 1 What Is Big Data? 1
 
The Arrival of Analytics 2
 
Where Is the Value? 3
 
More to Big Data Than Meets the Eye 5
 
Dealing with the Nuances of Big Data 6
 
An Open Source Brings Forth Tools 7
 
Caution: Obstacles Ahead 8
 
Chapter 2 Why Big Data Matters 11
 
Big Data Reaches Deep 12
 
Obstacles Remain 13
 
Data Continue to Evolve 15
 
Data and Data Analysis Are Getting More Complex 17
 
The Future Is Now 18
 
Chapter 3 Big Data and the Business Case 21
 
Realizing Value 22
 
The Case for Big Data 22
 
The Rise of Big Data Options 25
 
Beyond Hadoop 27
 
With Choice Come Decisions 28
 
Chapter 4 Building the Big Data Team 29
 
The Data Scientist 29
 
The Team Challenge 30
 
Different Teams, Different Goals 31
 
Don't Forget the Data 32
 
Challenges Remain 32
 
Teams versus Culture 34
 
Gauging Success 35
 
Chapter 5 Big Data Sources 37
 
Hunting for Data 38
 
Setting the Goal 39
 
Big Data Sources Growing 40
 
Diving Deeper into Big Data Sources 42
 
A Wealth of Public Information 43
 
Getting Started with Big Data Acquisition 44
 
Ongoing Growth, No End in Sight 46
 
Chapter 6 The Nuts and Bolts of Big Data 47
 
The Storage Dilemma 47
 
Building a Platform 52
 
Bringing Structure to Unstructured Data 57
 
Processing Power 59
 
Choosing among In-house, Outsourced, or Hybrid Approaches 61
 
Chapter 7 Security, Compliance, Auditing, and Protection 63
 
Pragmatic Steps to Securing Big Data 64
 
Classifying Data 65
 
Protecting Big Data Analytics 66
 
Big Data and Compliance 67
 
The Intellectual Property Challenge 72
 
Chapter 8 The Evolution of Big Data 77
 
Big Data: The Modern Era 80
 
Today, Tomorrow, and the Next Day 84
 
Changing Algorithms 90
 
Chapter 9 Best Practices for Big Data Analytics 93
 
Start Small with Big Data 94
 
Thinking Big 95
 
Avoiding Worst Practices 96
 
Baby Steps 98
 
The Value of Anomalies 101
 
Expediency versus Accuracy 103
 
In-Memory Processing 104
 
Chapter 10 Bringing It All Together 111
 
The Path to Big Data 112
 
The Realities of Thinking Big Data 113
 
Hands-on Big Data 115
 
The Big Data Pipeline in Depth 116
 
Big Data Visualization 121
 
Big Data Privacy 122
 
Appendix Supporting Data 125
 
"The MapR Distribution for Apache Hadoop" 126
 
"High Availability: No Single Points of Failure" 142
 
About the Author 151
 
Index 153

Product details

• Authors: Ohlhorst, Fj Ohlhorst, Frank J Ohlhorst, Frank J. Ohlhorst, OHLHORST FRANK J, Ohlhorst Frank J.
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 01.12.2012
• EAN: 9781118147597
• ISBN: 978-1-118-14759-7
• No. of pages: 176
• Series: SAS Institute Inc; Wiley and SAS Business Series; Wiley and SAS Business; SAS Institute Inc; Wiley and SAS Business Series; Wiley & SAS Business
• Subjects: Social sciences, law, business > Business > Management; Business & management, Wirtschaft u. Management, Unternehmenstechnologie, Business Technology