Commercial warehouse design and updating are dating sites considered social network

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Data warehouses separate analysis workload from transaction workload and enable an organization to consolidate data from several sources.This helps in: In addition to a relational database, a data warehouse environment can include an extraction, transportation, transformation, and loading (ETL) solution, statistical analysis, reporting, data mining capabilities, client analysis tools, and other applications that manage the process of gathering data, transforming it into useful, actionable information, and delivering it to business users.Users of the data warehouse perform data analyses that are often time-related.Examples include consolidation of last year's sales figures, inventory analysis, and profit by product and by customer.

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Dependent data marts can avoid the problems of inconsistency, but they require that an enterprise-level data warehouse already exist.

Independent data marts are those which are fed directly from source data.

They can turn into islands of inconsistent information.

Although the discussion above has focused on the term "data warehouse", there are two other important terms that need to be mentioned.

These are the data mart and the operation data store (ODS).

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