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Understanding Facts and Dimensions in Data Warehousing by nkapoor123 is a document available to read on EtoBox.

What is Understanding Facts and Dimensions in Data Warehousing about?

The document discusses the concepts of facts and dimensions in multidimensional analysis. Facts are instances of occurrences or events stored in a database, while dimensions are descriptors that can be used to access and organize facts. A star schema is described as having a central fact table surrounded by de-normalized dimension tables, allowing for querying of data organized by dimensions like time, customer, and product. Snowflake schemas also have a central fact table but with normalized dimension hier

Author
nkapoor123
Language
EN

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