Information Management: Strategies for Gaining a Competitive Advantage with Data

246 Pages·2013·1.91 MB·English

by  William McKnight

Information Management
Strategies for Gaining a Competitive
Advantage with Data
William McKnight
The Savvy Manager’s Guide
Table of Contents
Cover image
Title page
Copyright
Foreword
In praise of Information Management
Preface
Chapter One. You’re in the Business of Information
An Architecture for Information Success
The Glue is Architecture
Workload Success
Information in Action
Judgment Still Necessary
Chapter Two. Relational Theory In Practice
Relational Theory
Multidimensional Databases
RDBMS Platforms
Action Plan
Chapter Three. You’re in the Business of Analytics
What Distinguishes Analytics?
Predictive Analytics
Building Predictive Analytic Models
Analytics and Information Architecture
Analytics Requires Analysts
Action Plan
Chapter Four. Data Quality: Passing the Standard
Data Quality Defect Categories
Sources of Poor Data Quality
Cures for Poor Data Quality
Action Plan
Chapter Five. Columnar Databases
Columnar Operation
Compression
Workloads
Workload Examples
Columnar Conclusions
Action Plan
Chapter Six. Data Warehouses and Appliances
Data Warehousing
The Data Warehouse Appliance
Data Appliances and the Use of Memory
Action Plan
Chapter Seven. Master Data Management: One Chapter Here, but Ramifications
Everywhere
MDM Justification
A Subject-Area Culture
Mastering Data
The Architecture of MDM
MDM Governance
Data Quality and MDM
MDM Roles and Responsibilities
MDM Technology
Action Items
Chapter Eight. Data Stream Processing: When Storing the Data Happens Later
Uses of Data Stream Processing
Data Stream Processing Brings Power
Stream SQL Extensions
In Conclusion
Action Plan
References
Chapter Nine. Data Virtualization: The Perpetual Short-Term Solution
The History of Data Virtualization
Controlling Your Information Asset
Action Plan
Reference
Chapter Ten. Operational Big Data: Key-Value, Document, and Column Stores:
Hash Tables Reborn
When to Yes NoSQL
NoSQL Attributes
NoSQL Categorization
Key-Value Stores
Document Stores
Column Stores
NoSQL Solution Checklist
Action Plan
Chapter Eleven. Analytical Big Data: Hadoop: Analytics at Scale
Big Data for Hadoop
Hadoop Defined
Hadoop Distributed File System
MapReduce for Hadoop
Failover
Hadoop Distributions
Supporting Tools
Hadoop Challenges
Hadoop is Not
Summary
Action Plan
Chapter Twelve. Graph Databases: When Relationships are the Data
Terms
Structure
Centrality Analysis
Cypher, a Graph Database Language
Graph Database Models
Action Plan
Chapter Thirteen. Cloud Computing: On-Demand Elasticity
Defining Cloud Computing
Benefits of the Cloud
Challenges with the Cloud
Cloud Deployment Models
Information Management in the Cloud
Action Plan
Chapter Fourteen. An Elegant Architecture Where Information Flows
The Starting Point
Plenty of Work to be Done
Information Management Maturity
Leadership
Action Plan
Chapter Fifteen. Modern Business Intelligence—Collaboration, Mobile, and
Self-Service: Organizing the Discussion and Tethering the User to Information
The Mobile Revolution
Mobile Business Intelligence
Self-Service Business Intelligence
Collaborative Business Intelligence
Action Plan
Chapter Sixteen. Agile Practices for Information Management
Traditional Waterfall Methodology
Agile Approaches
SCRUM
SCRUM and Methodology Themes
Action Plan
Chapter Seventeen. Organizational Change Management: The Soft Stuff is the
Hard Stuff
Organizational Change Management Work Products
Organization Change Management is Essential to Project Success
Action Plan
Index
Copyright
Acquiring Editor: Andrea Dierna Editorial Project Manager: Kaitlin Herbert
Project Manager: Priya Kumaraguruparan Designer: Maria Inês Cruz Morgan
Kaufmann is an imprint of Elsevier 225 Wyman Street, Waltham, MA, 02451,
USA
©2014 Elsevier Inc. All rights reserved.
No part of this publication may be reproduced or transmitted in any form or by
any means, electronic or mechanical, including photocopying, recording, or any
information storage and retrieval system, without permission in writing from the
publisher. Details on how to seek permission, further information about the
Publisher’s permissions policies and our arrangements with organizations such
as the Copyright Clearance Center and the Copyright.
Licensing Agency, can be found at our website: www.elsevier.com/permissions.
This book and the individual contributions contained in it are protected under
copyright by the Publisher (other than as may be noted herein).
Notices
Knowledge and best practice in this field are constantly changing.
As new research and experience broaden our understanding,
changes in research methods or professional practices, may become
necessary. Practitioners and researchers must always rely on their
own experience and knowledge in evaluating and using any
information or methods described herein. In using such information
or methods they should be mindful of their own safety and the
safety of others, including parties for whom they have a professional
responsibility.
To the fullest extent of the law, neither the Publisher nor the
authors, contributors, or editors, assume any liability for any injury
and/or damage to persons or property as a matter of products
and/or damage to persons or property as a matter of products
liability,negligence or otherwise, or from any use or operation of
any methods, products, instructions, or ideas contained in the
material herein.
Library of Congress Cataloging-in-Publication Data
Application submitted
British Library Cataloguing-in-Publication Data
A catalogue record for this book is available from the British Library.
ISBN: 978-0-12408056-0
Printed in the United States of America 14 15 16 17 10 9 8 7 6 5 4 3 2 1
For information on all MK publications visit our website at
www.mkp.com