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Data Warehouse Design: Modern Principles and Methodologies

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ISBN-10: 0071610391

ISBN-13: 9780071610391

Edition: 2009

Authors: Matteo Golfarelli, Stefano Rizzi

List price: $56.00
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Description:

The first book to apply the modern principles of software engineering to building data warehouses Written by a team of global experts, this book explains how to design next-generation data warehouses using a structured approach inspired by the modern principles of software engineering. All of the design techniques featured in the book are placed within a practical framework so that solutions can be applied immediately. Data Warehouse Design: Modern Principles and Methodologies explains how to transform databases into data warehouses, allowing organizations to integrate and analyze data across the enterprise in order to make informed business decisions. The CD contains a CASE (computer aided…    
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Book details

List price: $56.00
Copyright year: 2009
Publisher: McGraw-Hill Education
Publication date: 6/16/2009
Binding: Paperback
Pages: 480
Size: 7.50" wide x 9.25" long x 1.00" tall
Weight: 1.738
Language: English

Matteo Golfarelli is an associate professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in information systems, databases, and data mining. Stefano Rizzi is a full professor of Computer Science and Technology at the University of Bologna, Italy, where he teaches courses in advanced information systems and software engineering.

Matteo Golfarelli is an associate professor of Computer Science and Information Technology at the University of Bologna, Italy. Stefano Rizzi is a professor of Computer Science and Information Technology at the University of Bologna, Italy.

Introduction to data warehousing
The life-cycle of data warehousing systems
Analysis and reconciliation of data sources
Conceptual modeling
Conceptual design
The workload and the data volume
Logical modeling
Logical design
Data staging design
Indexes for data warehouses
Physical design
The design documentation
A case study
Business intelligence: beyond date warehousing
Glossary
Bibliography