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Data Warehousing and E-Commerce

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ISBN-10: 0130911542

ISBN-13: 9780130911544

Edition: 2001

Authors: William J. Lewis

List price: $49.99
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This book offers the first start-to-finish blueprint for leveraging the power of data warehousing in e-Business. Leading consultant William Lewis reviews the current state of data warehousing, reviews how businesses are transforming themselves into multi-channel digital enterprises, and shows exactly how to leverage data warehousing in achieving these goals. Lewis shows how to define e-business IT architectures that take advantage of existing data warehouse resources; how to provide business Internet analytics via "data webhouses"; how to make the most of business information portals; how to handle storage cost-effectively, and much more. The book also includes detailed coverage of key…    
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Book details

List price: $49.99
Copyright year: 2001
Publisher: Prentice Hall PTR
Publication date: 6/21/2001
Binding: Paperback
Pages: 304
Size: 6.75" wide x 9.50" long x 0.75" tall
Weight: 1.232
Language: English

Foreword
Introduction
A Crash (or Collision) Course: A History of Data Warehousing
The Current State of Data Warehousing and E-Commerce
It's the Data, Stupid!
The Means to Many Ends
Business Trends and the Use of Data
Technological Underpinnings
Data Warehousing and E-Commerce at Tiosa Corporation
The New Economy: What Is It, Anyway?
Channels. The Value Chain
Channels and the Value Chain
Integration
Tiosa Corporation's Value Chain and Channels
Enterprise IT Architecture for the Digital Economy
Why Do IT Architecture?
Who's Doing IT Architecture?
What is an IT Architecture, Anyway?
Components of an IT Architecture
Developing and Using a Data Architecture for E-Commerce
Tiosa Group Initiates Data Architecture Management
Output: Turning Data into Information
Successively Broader Scopes of Data
Interactive and Exploratory Data Analysis
Meta-data for E-Commerce and Beyond
The Business Intelligence Dissemination Lifecycle
E-Business Intelligence at Tiosa Group
Keeping the Data Around: Representation and Storage
Data Representation: Logical Data Storage
Structured and Unstructured Data
Physical Data Storage
Data-Hardware Interfaces for E-Commerce
Data Storage for E-Commerce at Tiosa Group
Input-Moving the Data Around
E-Commerce Data Integration
Data-Integration Infrastructure
XML, XML, and More XML
Transforming Data
Successively Broader Scopes of Data Integration
Enhancing the Data: Customer Matching and Householding
Assimilating External Data
Knowledge Management: The Input is the Issue
E-Commerce Data Movement at Tiosa Group
Data as a Product
E-Commerce and the Data Value Chain
A History of Data as a Product
E-Commerce Impact on Data Resources
Data Ownership
Data Specifications and Quality Data
Profiling of Production Data Resources
Refinement of Production Data Resources
The Data Product at Tiosa Group
Managing the Data Side of E-Commerce Projects
Project Management, in General-And Briefly
Tasks and Deliverables in an E-Commerce Project
Skills and Staffing: The E-Commerce Data Dream Team
Planning and Scheduling
The Next Project: E-Business Intelligence
Tiosa and the E-Commerce Data Dream Team
Case Studies: E-Business Data Management and Data Warehousing
Electronic Banking: EbizPioneer
Retail B2C: EbizDelivery
Financial B2C: EbizMoney
Financial B2B: EbizGlobal
Manufacturing B2B: EbizToolz
Outsourced E-Business Intelligence: EbizBI
Data Warehousing Versus E-Commerce?
E-Commerce Software Standards
Data Versus Objects?
Resolution and Accommodation?
Tiosa Group: One Last Visit
A Data E-Technologies Product Catalog
Web Analytics
Business Intelligence
Online Analytical Processing (OLAP)
Turnkey Data Marts
Data Mining
Enterprise Information Portals
Specialized Database Products: Main-memory, XML, and Federated DBMS
Virtual Data Warehousing
Data Enrichment
Customer Data Vendors
Product Data Vendors
Payment Processing and Tax Data Vendors
Extract, Transform, and Load (ETL)
Knowledge Management
Application Servers
B2C E-Commerce Servers
B2B E-Commerce Servers
Middleware and Enterprise Application Integration
Relational DBMS
Java and Object-Oriented Development
XML Development
Meta-data Management
Database Administration Tools
Appendix: How to Read a Data Model Diagram
Bibliography and Recommended Reading
Index