Contents

Preface

Acknowledgments

Chapter 1: What is Big Data?

The Arrival of Analytics

Where is the Value?

More to Big Data Than Meets the Eye

Dealing with the Nuances of Big Data

An Open Source Brings Forth Tools

Caution: Obstacles Ahead

Chapter 2: Why Big Data Matters

Big Data Reaches Deep

Obstacles Remain

Data Continue to Evolve

Data and Data Analysis are Getting More Complex

The Future is Now

Chapter 3: Big Data and the Business Case

Realizing Value

The Case for Big Data

The Rise of Big Data Options

Beyond Hadoop

With Choice Come Decisions

Chapter 4: Building the Big Data Team

The Data Scientist

The Team Challenge

Different Teams, Different Goals

Don’t Forget the Data

Challenges Remain

Teams versus Culture

Gauging Success

Chapter 5: Big Data Sources

Hunting for Data

Setting the Goal

Big Data Sources Growing

Diving Deeper into Big Data Sources

A Wealth of Public Information

Getting Started with Big Data Acquisition

Ongoing Growth, No End in Sight

Chapter 6: The Nuts and Bolts of Big Data

The Storage Dilemma

Building a Platform

Bringing Structure to Unstructured Data

Processing Power

Choosing among In-house, Outsourced, or Hybrid Approaches

Chapter 7: Security, Compliance, Auditing, and Protection

Pragmatic Steps to Securing Big Data

Classifying Data

Protecting Big Data Analytics

Big Data and Compliance

The Intellectual Property Challenge

Chapter 8: The Evolution of Big Data

Big Data: The Modern Era

Today, Tomorrow, and the Next Day

Changing Algorithms

Chapter 9: Best Practices for Big Data Analytics

Start Small with Big Data

Thinking Big

Avoiding Worst Practices

Baby Steps

The Value of Anomalies

Expediency versus Accuracy

In-Memory Processing

Chapter 10: Bringing it All Together

The Path to Big Data

The Realities of Thinking Big Data

Hands-on Big Data

The Big Data Pipeline in Depth

Big Data Visualization

Big Data Privacy

Appendix: Supporting Data

“The MapR Distribution for Apache Hadoop”

“High Availability: No Single Points of Failure”

About the Author

Index

WILEY & SAS BUSINESS SERIES

The Wiley & SAS Business Series presents books that help senior-level managers with their critical management decisions.

Titles in the Wiley and SAS Business Series include:

Activity-Based Management for Financial Institutions: Driving Bottom-Line Results by Brent Bahnub

Advanced Business Analytics: Creating Business Value from Your Data by Jean Paul Isson and Jesse Harriott

Branded! How Retailers Engage Consumers with Social Media and Mobility by Bernie Brennan and Lori Schafer

Business Analytics for Customer Intelligence by Gert Laursen

Business Analytics for Managers: Taking Business Intelligence beyond Reporting by Gert Laursen and Jesper Thorlund

The Business Forecasting Deal: Exposing Bad Practices and Providing Practical Solutions by Michael Gilliland

Business Intelligence Success Factors: Tools for Aligning Your Business in the Global Economy by Olivia Parr Rud

CIO Best Practices: Enabling Strategic Value with Information Technology, Second Edition by Joe Stenzel

Connecting Organizational Silos: Taking Knowledge Flow Management to the Next Level with Social Media by Frank Leistner

Credit Risk Assessment: The New Lending System for Borrowers, Lenders, and Investors by Clark Abrahams and Mingyuan Zhang

Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring by Naeem Siddiqi

The Data Asset: How Smart Companies Govern Their Data for Business Success by Tony Fisher

Demand-Driven Forecasting: A Structured Approach to Forecasting by Charles Chase

Executive’s Guide to Solvency II by David Buckham, Jason Wahl, and Stuart Rose

The Executive’s Guide to Enterprise Social Media Strategy: How Social Networks Are Radically Transforming Your Business by David Thomas and Mike Barlow

Fair Lending Compliance: Intelligence and Implications for Credit Risk Management by Clark R. Abrahams and Mingyuan Zhang

Foreign Currency Financial Reporting from Euros to Yen to Yuan: A Guide to Fundamental Concepts and Practical Applications by Robert Rowan

Human Capital Analytics: How to Harness the Potential of Your Organization’s Greatest Asset by Gene Pease, Boyce Byerly, and Jac Fitz-enz

Information Revolution: Using the Information Evolution Model to Grow Your Business by Jim Davis, Gloria J. Miller, and Allan Russell

Manufacturing Best Practices: Optimizing Productivity and Product Quality by Bobby Hull

Marketing Automation: Practical Steps to More Effective Direct Marketing by Jeff LeSueur

Mastering Organizational Knowledge Flow: How to Make Knowledge Sharing Work by Frank Leistner

The New Know: Innovation Powered by Analytics by Thornton May

Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics by Gary Cokins

Retail Analytics: The Secret Weapon by Emmett Cox

Social Network Analysis in Telecommunications by Carlos Andre Reis Pinheiro

Statistical Thinking: Improving Business Performance, Second Edition by Roger W. Hoerl and Ronald D. Snee

Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics by Bill Franks

The Value of Business Analytics: Identifying the Path to Profitability by Evan Stubbs

Visual Six Sigma: Making Data Analysis Lean by Ian Cox, Marie A. Gaudard, Philip J. Ramsey, Mia L. Stephens, and Leo Wright

For more information on any of the above titles, please visit www.wiley.com.

Cover image: @liangpv/iStockphoto

Cover design: Michael Rutkowski

Copyright © 2013 by John Wiley & Sons, Inc. All rights reserved.

Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

Published simultaneously in Canada.

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 646-8600, or on the Web at www.copyright.com. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

For general information on our other products and services or for technical support, please contact our Customer Care Department within the United States at (800) 762-2974, outside the United States at (317) 572-3993 or fax (317) 572-4002.

Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com. For more information about Wiley products, visit www.wiley.com.

Library of Congress Cataloging-in-Publication Data:

Ohlhorst, Frank, 1964–

Big data analytics : turning big data into big money / Frank Ohlhorst.

p. cm. — (Wiley & SAS business series)

Includes index.

ISBN 978-1-118-14759-7 (cloth) — ISBN 978-1-118-22582-0 (ePDF) — ISBN 978-1-118-26380-8 (Mobi) — ISBN 978-1-118-23904-9 (ePub)

1. Business intelligence. 2. Data mining. I. Title.

HD38.7.O36 2013

658.4'72—dc23

2012030191

Preface

What are data? This seems like a simple enough question; however, depending on the interpretation, the definition of data can be anything from “something recorded” to “everything under the sun.” Data can be summed up as everything that is experienced, whether it is a machine recording information from sensors, an individual taking pictures, or a cosmic event recorded by a scientist. In other words, everything is data. However, recording and preserving that data has always been the challenge, and technology has limited the ability to capture and preserve data.

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!

Lesen Sie weiter in der vollständigen Ausgabe!