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Tables of Contents for Data Warehousing and E-Commerce
Chapter/Section Title
Page #
Page Count
Foreword
xi
Introduction
xiii
A Crash (or Collision) Course: A History of Data Warehousing
1
24
The Current State of Data Warehousing and E-Commerce
1
4
It's the Data, Stupid! The Means to Many Ends
5
1
Business Trends and the Use of Data
6
8
Technological Underpinnings
14
8
Data Warehousing and E-Commerce at Tiosa Corporation
22
3
The New Economy: What Is It, Anyway?
25
26
Channels
25
1
The Value Chain
26
15
Channels and the Value Chain
41
3
Integration
44
2
Tiosa Corporation's Value Chain and Channels
46
5
Enterprise IT Architecture for the Digital Economy
51
24
Why Do IT Architecture?
52
1
Who's Doing IT Architecture?
53
1
What is an IT Architecture, Anyway?
54
1
Components of an IT Architecture
55
6
Developing and Using a Data Architecture for E-Commerce
61
11
Tiosa Group Initiates Data Architecture Management
72
3
Output: Turning Data into Information
75
28
Successively Broader Scopes of Data
76
7
Interactive and Exploratory Data Analysis
83
4
Meta-data for E-Commerce and Beyond
87
5
The Business Intelligence Dissemination Lifecycle
92
4
E-Business Intelligence at Tiosa Group
96
7
Keeping the Data Around: Representation and Storage
103
26
Data Representation: Logical Data Storage
104
5
Structured and Unstructured Data
109
2
Physical Data Storage
111
7
Data-Hardware Interfaces for E-Commerce
118
7
Data Storage for E-Commerce at Tiosa Group
125
4
Input---Moving the Data Around
129
36
E-Commerce Data Integration
129
1
Data-Integration Infrastructure
130
7
XML, XML, and More XML
137
4
Transforming Data
141
9
Successively Broader Scopes of Data Integration
150
6
Enhancing the Data: Customer Matching and Householding
156
2
Assimilating External Data
158
2
Knowledge Management: The Input is the Issue
160
2
E-Commerce Data Movement at Tiosa Group
162
3
Data as a Product
165
22
E-Commerce and the Data Value Chain
166
1
A History of Data as a Product
167
4
E-Commerce Impact on Data Resources
171
1
Data Ownership
172
4
Data Specifications and Quality Data
176
3
Profiling of Production Data Resources
179
1
Refinement of Production Data Resources
180
2
The Data Product at Tiosa Group
182
5
Managing the Data Side of E-Commerce Projects
187
20
Project Management, in General---And Briefly
188
1
Tasks and Deliverables in an E-Commerce Project
188
6
Skills and Staffing: The E-Commerce Data Dream Team
194
9
Planning and Scheduling
203
1
The ``Next'' Project: E-Business Intelligence
204
1
Tiosa and the E-Commerce Data Dream Team
205
2
Case Studies: E-Business Data Management and Data Warehousing
207
22
Electronic Banking: EbizPioneer
208
3
Retail B2C: EbizDelivery
211
4
Financial B2C: EbizMoney
215
5
Financial B2C: EbizGlobal
220
2
Manufacturing B2B: EbizToolz
222
3
Outsourced E-Business Intelligence: EbizBI
225
4
Data Warehousing Versus E-Commerce?
229
18
E-Commerce Software Standards
230
6
Data Versus Objects?
236
5
Resolution and Accommodation?
241
2
Tiosa Group: One Last Visit
243
4
A Data E-Technologies Product Catalog
247
30
Web Analytics
249
1
Business Intelligence
249
1
Online Analytical Processing (OLAP)
249
4
Turnkey Data Marts
253
1
Data Mining
253
1
Enterprise Information Portals
253
1
Specialized Database Products: Main-memory, XML, and Federated DBMS
253
5
Virtual Data Warehousing
258
1
Data Enrichment
258
1
Customer Data Vendors
258
1
Product Data Vendors
258
5
Payment Processing and Tax Data Vendors
263
1
Extract, Transform, and Load (ETL)
263
1
Knowledge Management
263
1
Application Servers
263
5
B2C E-Commerce Servers
268
1
B2B E-Commerce Servers
268
1
Middleware and Enterprise Application Integration
268
1
Relational DBMS
268
4
Java and Object-Oriented Development
272
1
XML Development
272
1
Meta-data Management
272
1
Database Administration Tools
272
5
Appendix: How to Read a Data Model Diagram
277
2
Bibliography and Recommended Reading
279
2
Index
281