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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000003911652 | QA76.9.D37 A53 1997 | Open Access Book | Book | Searching... |
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Summary
Summary
Data warehouses are the primary means by which businesses can gain competitive advantage through analyzing and using the information stored in their computerized systems. However, the data warehousing market is inundated with confusing, often contradictory, technical information from suppliers of hardware, databases and tools. Data Warehousing in the Real World provides comprehensive guidelines and techniques for the delivery of decision support solutions using open-systems data warehouses. Written by practitioners for practitioners, Data Warehousing in the Real World describes each stage of the implementation process in detail: from project planning and requirements analysis, through architecture and design to administrative issues such as user access, security, backup and recovery.
Author Notes
Sam Anahory is Director for Systems Integration at SHL Systemhouse An MCI Company, where he runs their Data Warehousing practice, delivering end-to-end data warehousing business solutions to clients. Prior to this, he built up and ran the Data Warehousing practice
Dennis Murray is the Principal Consultant responsible for Large Scalable Solutions in Oracle Corporation's Europe, Middle East and Africa advanced technologies group. Through being the Technical Architect for many data warehousing solutions, he has accumulated a vast amount of experience on a wide range of hardware platforms.
0201175193AB04062001
Table of Contents
I Introduction |
1 Introduction |
2 Delivery Process |
II Data Warehouse Architecture |
3 System Processes |
4 Process Architecture |
III Design |
5 Database Schema |
6 Partitioning Strategy |
7 Aggregations |
8 Data Mining |
9 Matadata |
10 System and Data Warehouse Process Managers |
IV Hardware and Operational Design |
11 Hardware Architecture |
12 Physical Layout |
13 Security |
14 Backup and Recovery |
15 Service Level Agreement |
16 Operating the Data Warehouse |
V Capacity Planning, Tuning and Testing |
17 Capacity Planning |
18 Tuning the Data Warehouse |
19 Testing the Data Warehouse |
VI Futures |
20 Data Warehouse Futures |
Appendices |