![]() Data Held: Raw data, metadata, and summary data.Setup Time: At least a year for on-premise warehouses cloud data warehouses are much quicker to set up.Cost: Varies but often greater than $100,000 for cloud solutions costs can be dramatically lower as organizations pay per use.Decision Types: Strategic decisions that affect the entire enterprise.Normalization: Modern warehouses are mostly denormalized for quicker data querying and read performance.Size: 100 GB minimum but often in the range of terabytes for large organizations.Data Sources: Many external and internal sources from different areas of an organization.Focus: Enterprise-wide repository of disparate data sources.Decision Types: Tactical decisions pertaining to particular business lines and ways of doing things.Normalization: No preference between a normalized and denormalized structure.Data Sources: Relatively few sources linked to one line of business.Focus: A single subject or functional organization area.The collated data is used to guide business decisions through analysis, reporting, and data mining tools.ĭata Mart and Data Warehouse Difference Data Mart Data marts contain repositories of summarized data collected for analysis on a specific section or unit within an organization, for example, the sales department.Ī data warehouse is a large centralized repository of data that contains information from many sources within an organization. Data Warehouse: The Difference with ExamplesĪ data mart is a subset of a data warehouse oriented to a specific business line.
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