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What is Snowflake Schema

Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
A variation of the star schema except that dimensions are normalized representing each hierarchy level in a separate table.
Published in Chapter:
Different Kinds of Hierarchies in Multidimensional Models
Elzbieta Malinowski (Universidad de Costa Rica, Costa Rica)
DOI: 10.4018/978-1-60566-242-8.ch006
Abstract
In the database design, the advantages of using conceptual models for representing users’ requirements are well known. Nevertheless, even though data warehouses (DWs) are databases that store historical data for analytical purposes, they are usually represented at the logical level using the star and snowflake schemas. These schemas facilitate delivery of data for online analytical processing (OLAP) systems. In particular, hierarchies are important since traversing them, OLAP tools perform automatic aggregations of data using the roll-up and drill-down operations. The former operation transforms detailed data into aggregated ones (e.g., daily into monthly sales) while the latter does the opposite.
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More Results
Data Warehouse With OLAP Technology for the Tourism Industry
The snowflake schema is represented by centralized fact tables which are connected to multiple dimensions.
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