DocumentCode :
1592350
Title :
The translation of star schema into entity-relationship diagrams
Author :
Krippendorf, Michael ; Song, II-Yeol
Author_Institution :
Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
fYear :
1997
Firstpage :
390
Lastpage :
395
Abstract :
The star schema is widely accepted as an appropriate underlying table structure for data warehouses, but enterprise data is frequently defined in terms of entity-relationship diagrams. A key issue for data warehouse designers is how to move from legacy OLTP designs into the star schema. In this paper, we examine the semantics and constraints of the star schema in some of its different forms and translate them into analogous ERDs. These different forms include the simple, multi-star and snowflaked star schema, and several variations on facts and dimensions, such as multiple fact and outboard dimension tables. We outline transformation rules for each case and show a series of examples. These heuristics will be useful in mapping and maintaining consistency between OLTP databases and data warehouses
Keywords :
business data processing; data integrity; data structures; database theory; diagrams; entity-relationship modelling; relational databases; transaction processing; very large databases; data consistency; data warehouse; data warehouses; enterprise data; entity-relationship diagrams; heuristics; legacy OLTP designs; multi-star schema; online transaction processing; semantics; snowflaked star schema; star schema translation; table structure; tables; transformation rules; Additives; Bridges; Data mining; Data warehouses; Lattices; Marketing and sales; Measurement units; Size control; Warehousing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 1997. Proceedings., Eighth International Workshop on
Conference_Location :
Toulouse
Print_ISBN :
0-8186-8147-0
Type :
conf
DOI :
10.1109/DEXA.1997.617320
Filename :
617320
Link To Document :
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