2. Avondale College Data Warehousing at Avondale College DW01 Presented by: Date: David Heise 29 November, 1996

3. Avondale College Welcome & Summary  Background COMP820 work-related assignment EIS proposal to DEET MComp Data Warehousing Project  Overview DW021. Welcome & Summary

4. Avondale College 1. Welcome & SummaryDW03 Overview 1.Welcome & Summary 2.Definition 3.Importance of Data Warehousing 4.Decision Support Stages 5.Data Warehousing - The Data View 6.Data Warehousing - The Process View 7.Some Terms 8.Data Warehousing Issues

5. Avondale College Definition A data warehouse is a: Subject oriented Integrated Time-variant Nonvolatile collection of data in support of management decisions. Inmon, W.H. Building the Data Warehouse. 1993. 2. Definition DW04

6. Avondale College Importance of Data Warehousing 1.See definition 2.Adds ad hoc reporting & analysis 3.Relieves development burden on IT 4.Improves performance for complex queries 5.Relieves OLTP processing burden 6.Converts corporate data into strategic information DW05 3. Importance of Data Warehousing

7. Avondale College Decision Support Stages DW064. Decision Support Stages Sophistication More Strategic Decision Making More Operational Decision Making Stage:One TwoThreeFour Data Enquiry Data Interpretation Multi-Dimensional Analysis Information Discovery

8. Avondale College The Data View 5. The Data View DW07  End User PowerPlay Data Warehouse Database  End User Impromptu Operational System Production Data - VAX RMS, Databus Operational System External Data - PC, Hardcopy Data Warehouse  End User Impromptu

9. Avondale College The Process View DW08 6. The Process View VAX RMS VAX Databus PC Data Hardcopy Access to Operational Data Find and Understand Transform & Distribute Operational Metadata Data Warehouse Data and Process Flow Management and Automation  Use! Metadata and Information Objects User

10. Avondale College Some Terms  OLTPOnLine Transaction Processing  OLAPOnLine Analytical Processing  MDDMulti-Dimensional Database  ROLAPRelational OLAP DW09 7. Some Terms

11. Avondale College Data Warehousing Issues DW108. Data Warehousing Issues 1.Establishing needs 2.Mapping goals 3.Data warehouse design 4.Security 5.Data ownership 6.Data responsibility 7.Data integration and cleanup 8.Translating data 9.Establishing granularity

12. Avondale College The End Conclusions Thank You DW11