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A star schema is a data model for data warehouses and dimensional data marts that consists of one or more fact tables and dimension tables. Learn about the benefits, types, and examples of star schemas, and how they differ from snowflake schemas.
Dimensional modeling is a data warehouse design methodology developed by Ralph Kimball that uses facts and dimensions to model business processes. Learn the 4-step design process, the benefits, and the challenges of dimensional modeling with examples and references.
A fact table is a central table in a data warehouse that contains measurements, metrics or facts of a business process. It is surrounded by dimension tables that provide context and analysis for the facts. Learn about different types, measures and design steps of fact tables.
A dimension is a structure that categorizes facts and measures in order to enable users to answer business questions. A conformed dimension is a set of data attributes that have been physically referenced in multiple database tables using the same key value to refer to the same structure, attributes, domain values, definitions and concepts.
Learn about the dimensional fact model (DFM), a graphical formalism for conceptual modeling in data warehouse projects. DFM represents facts, measures, dimensions, hierarchies, and other advanced concepts with diagrams and symbols.
A snowflake schema is a variation of the star schema, featuring normalization of dimension tables. Learn the benefits, disadvantages, examples and references of this logical arrangement of tables in a multidimensional database.
A data warehouse is a system for reporting and data analysis that integrates data from multiple sources. Learn about the basic components, variants, and advantages of data warehousing, as well as related systems such as data marts and OLAP.
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities. Learn about the different perspectives, roles, and history of data models, as well as the data modeling languages and notations used to specify them.