Dimensional Modeling refers to the technique used to design logical models for database which can support OLAP and Data Warehousing operations. It differs from the relational modeling or ER modeling in the sense that it can be used for data warehouse as well as relational databases.
Dimensional modeling is based on two concepts called facts and dimensions. Facts are usually numeric values or something that can be measured or aggregated. For example: monthly sales amount. Dimensions are groups of hierarchies and attributes that are used to define facts. For example product and its color. In a dimensional model a group of facts forms a fact table while a group of dimensions form a dimension table.
Dimensional modeling is based on two concepts called facts and dimensions. Facts are usually numeric values or something that can be measured or aggregated. For example: monthly sales amount. Dimensions are groups of hierarchies and attributes that are used to define facts. For example product and its color. In a dimensional model a group of facts forms a fact table while a group of dimensions form a dimension table.
1 comments:
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