Advantages of Dimensional Data Modeling（空间数据建模的优点）.pdfVIP

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Advantages of Dimensional Data Modeling（空间数据建模的优点）.pdf

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Advantages of Dimensional Data Modeling（空间数据建模的优点）

Advantages of Dimensional Data Modeling 2997 Yarmouth Greenway Drive Madison, WI 53711 (608) 278-9964 Advantages of Dimensional Data Modeling 1 Top Ten Reasons Why Your Data Model Needs a Makeover 1. Ad hoc queries are difficult to construct for end-users or must go through database “gurus.” 2. Even standard reports require considerable effort and detail knowledge of the database. 3. Data is not integrated or is inconsistent across sources. 4. Changes in data values or in data sources cannot be handled gracefully. 5. The structure of the data does not mirror business processes or business rules. 6. The data model limits which BI tools can be used. 7. There is no system for maintaining change history or collecting metadata. 8. Disk space is wasted on redundant values. 9. Users who might benefit from the data don’t use it. 10.Maintenance is tedious and ad hoc. 2 Advantages of Dimensional Data Modeling Part 1 3 Part 1 - Data Model Overview •What is data modeling and why is it important? •Three common data models: de-normalized (SAS data sets) normalized dimensional model •Benefits of the dimensional model 4 What is data modeling? • The generalized logical relationship among tables • Usually reflected in the physical structure of the tables • Not tied to any particular product or DBMS • A critical design consideration 5 Why is data modeling important? •Allows you to optimize performance •Allows