Data Warehousing : Concepts, Techniques, Products And Applications

Data Warehousing : Concepts, Techniques, Products And Applications

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Product Specifications

Publisher PHI Learning All Information Technology books by PHI Learning
ISBN 9788120336278
Author: C S R Prabhu
Number of Pages 184
Edition Third Edition
Available
Available in all digital devices
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About The Book Data Warehousing

Book Summary:

The Third Edition of this well-received text analyses the fundamental concepts of data warehousing, data marts, and OLAP. The author discusses, in an easy-to-understand language, important topics such as data mining, how to build a data warehouse, and potential applications of data warehousing technology in government. Besides, the text compares and contrasts the currently available software tools used to design and develop data warehouses. While retaining the six existing case studies, it gives four new case studies:

HARBOR, A Highly Available Data Warehouse

A Typical Business Data Warehouse for a Trading Company

Customer Data Warehouse for the Worlds First and Largest Online Bank in the United Kingdom

A German Supermarket EDEKAs Data Warehouse

The book, which is a blend of principles and real-life case studies, is intended as a text for students of B.Tech/M.Tech (Computer Science and Engineering), B.Tech/M.Tech (Information Technology), MBA, M.Sc. (Computer Science), M.Sc. (Information Technology), and MCA. It should also be of considerable utility and worth to software professionals and database practitioners.


Table of Contents:
Preface Acknowledgements
1. DATA WAREHOUSING: AN INTRODUCTION
2. ONLINE ANALYTICAL PROCESSING
3. DATA MINING
4. DEVELOPING A DATA WAREHOUSE
5. APPLICATIONS OF DATA WAREHOUSING AND DATA MINING IN GOVERNMENT
CASE STUDIES
1 Data Warehousing in the Tamil Nadu Government
2 Data Warehouse for the Ministry of Commerce
3 Data Warehouse for the Government of Andhra Pradesh
4 Data Warehousing in Hewlett-Packard
5 Data Warehousing in Levi Strauss
6 Data Warehousing in the World Bank
7 HARBOR, A Highly Available Data Warehouse
8 A Typical Business Data Warehouse for a Trading Company
9 Customer Data Warehouse of the Worlds First and Largest Online Bank in the United Kingdom
10 A German Supermarket EDEKAs Data Warehouse
Bibliography Index