Comparing representations with relational and EER models
Communications of the ACM
A dimensional modeling manifesto
DBMS - Special issue on data warehousing
Data warehouse: practical advice from the experts
Data warehouse: practical advice from the experts
Communications of the ACM
Understanding corporate data models
Information and Management
Management issues in data warehousing: insights from the housing and development board
Decision Support Systems
Human Factors Studies of Database Query Languages: A Survey and Assessment
ACM Computing Surveys (CSUR)
User performance considerations in DBMS selection
SIGMOD '77 Proceedings of the 1977 ACM SIGMOD international conference on Management of data
Corporate Information Factory
Graph Visualization and Navigation in Information Visualization: A Survey
IEEE Transactions on Visualization and Computer Graphics
The Catch data warehouse: support for community health care decision-making
Decision Support Systems
The influence of database structure representation on database system learning and use
Journal of Management Information Systems
A systematic approach for transformation of ER schema to dimensional schema
Proceedings of the 7th International Conference on Frontiers of Information Technology
Comparing the understandability of alternative data warehouse schemas: An empirical study
Decision Support Systems
A study on the effects of routing symbol design on process model comprehension
Decision Support Systems
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Data warehouses can be constructed using either a relational or a dimensional model. This research compares the diagrammatic representations of these two models. Semantic network theory suggests that, because of their structure, star-schema diagrams (SSDs) are more understandable than entity-relationship diagrams (ERDs). Through two experiments that test both the accuracy and pattern of users' recall, we find strong evidence that SSDs are easier to understand than ERDs. Our findings imply that the use of the dimensional model should help decision makers query the warehouse directly, thereby reducing costs and the need for intervention and support by IT professionals.