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Microsoft Data Warehousing Building Distributed Decision Support Systems

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ISBN-10: 0471327611

ISBN-13: 9780471327615

Edition: 1999

Authors: Robert S. Craig, Joseph A. Vivona, David Berkovitch

List price: $39.99
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SQL Server is currently the leading DBMS on Windows NT. With the release of version 7.0, Microsoft has targeted the data warehouse market through an alliance with over 20 leading software vendors.
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Book details

List price: $39.99
Copyright year: 1999
Publisher: John Wiley & Sons, Incorporated
Publication date: 4/5/1999
Binding: Paperback
Pages: 384
Size: 7.50" wide x 9.25" long x 0.75" tall
Weight: 1.430
Language: English

Foreword
Preface
The 5 Environments
Decision Support Architectures
Establishing Competitive Advantage
Why Decision Support?
The Role of OLAP
The Role of Metadata
Microsoft Data Warehouse Framework
The Source Environment
ETML Tool Architectures
The ETML Process
ETML Development Process
Metadata
The Storage Environment
Financial Data Warehouses
Product Data Warehouses
Customer Data Warehouses
Transactional Data Warehouses
Data Warehouse or Data Mart?
Decision Support Databases
The Desktop Environment
The Users' Domain
Quality Reports for Consumers
Quality Tools for Providers
Tools for the Desktop Environment
The Data Warehouse Life Cycle
The Decision Support System Implementation Life Cycle
Planning
Design
Development, Testing, and Documentation
Installation
Training
Operational Management
Building a Microsoft-Based Decision Support System
Design Process and Tools
Source Environment
Storage Environment
Desktop Environment
Summary
Development
SQL Server 7
SQL Server 7 OLAP Services
Data Transformation Services
Replication
Microsoft Repository
Accessing Data with OLE DB
Desktop Tools for Data Access
Implementation
SQL Server and Client Tools
Installation
Data Warehouse
End-User Tools and Applications
Data Conversion
Training
Documentation
Summary
Operations and Management
Protecting Data Integrity
Data Security
System Performance
Summary
Analytical Applications
What Is a Data Warehouse?
A Data Warehouse Business Justification
What Users Can Do with a Data Warehouse
Myths About Average Users
Information-Centric Analysis
Multi-Dimensional Data Analysis
Summary
Bibliography
Index