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Avondale College Data Warehousing at Avondale College DW01 Presented by: Date: David Heise 29 November, 1996
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Avondale College Welcome & Summary Background COMP820 work-related assignment EIS proposal to DEET MComp Data Warehousing Project Overview DW021. Welcome & Summary
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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
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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
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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
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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
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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
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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
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Avondale College Some Terms OLTPOnLine Transaction Processing OLAPOnLine Analytical Processing MDDMulti-Dimensional Database ROLAPRelational OLAP DW09 7. Some Terms
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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
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Avondale College The End Conclusions Thank You DW11
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