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1 ACCTG 6910 Building Enterprise & Business Intelligence Systems (e.bis) The Data Warehouse Lifecycle Olivia R. Liu Sheng, Ph.D. Emma Eccles Jones Presidential Chair of Business
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2 Source System (Legacy) extract Storage: Flat files (fastest); RDBMS; Other Processing: Clean; Prune; Combine; Remove duplicates; households; standardize; conform dimensions; store awaiting replications; archive; export to data marts No user query services Populate, replicate, recover Data Mart #1: OLAP ( ROLAP and/or MOLAP) query services; dimensional! Subject oriented; locally implemented; user group driven; may store atomic data; may be frequently refreshed; conform to DW Bus Data Mart #2 Data Mart #3 Populate, replicate, recover Ad Hoc Query Tools Report Writers End User Applications feed Models: forecasting; scoring; allocating; data mining; other downstream Systems; other parameters; special UI Data Staging Area The Data Warehouse Presentation Servers End User Data Access Uploaded cleaned dimensions Uploaded model results Basic Elements of a Data Warehouse System DW BUS Conformed dimensions and facts Relational Flat files Spreadsheets ERP Legacy
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3 Technical Architecture Design Product Selection & Installation End-User Application Specification End-User Application Development The Business Dimensional Lifecycle Project Planning Business Requirement Definition Business Requirement Definition Deployment Maintenance, Monitoring, Evaluation & Growth Maintenance, Monitoring, Evaluation & Growth Project Management Dimensional Modeling Physical Design Data Staging Design & Development
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4 Dimensional Modeling Logical Design (Design appropriate table structures and relationships) Tool: Oracle Data Mart Designer
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5 Physical Design Storage Structure Performance Tuning Indexes and aggregation Tool: Data Mart Designer
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6 Data Staging Extraction (Cleansing and ) Transformation Loading (Transportation) Tool: Oracle Data Mart Builder
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7 Data Staging TransformationExtractionTransportation
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8 End User Application Specification and Development On-Line Analytic Processing (OLAP) –Reporting –Ad-hoc query –Graphical Analysis Tool: Oracle Data Mart Discoverer
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9 OLAP Reporting
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10 OLAP Drill-up&Drill-down Query
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11 OLAP Graphical Analysis
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