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  2. Data aggregation - Wikipedia

    en.wikipedia.org/wiki/Data_aggregation

    Data aggregation is the compiling of information from databases with intent to prepare combined datasets for data processing. [1] Description

  3. Metropolitan statistical area - Wikipedia

    en.wikipedia.org/wiki/Metropolitan_statistical_area

    The Census Bureau created the metropolitan district for the 1910 census as a standardized classification for large urban centers and their surrounding areas. The original threshold for a metropolitan district was 200,000, but was lowered to 100,000 in 1930 and 50,000 in 1940. [12]

  4. Aggregate data - Wikipedia

    en.wikipedia.org/wiki/Aggregate_data

    Aggregate data are also used for medical and educational purposes. Aggregate data is widely used, but it also has some limitations, including drawing inaccurate inferences and false conclusions which is also termed ‘ecological fallacy’. [3] ‘Ecological fallacy’ means that it is invalid for users to draw conclusions on the ecological ...

  5. Aggregate function - Wikipedia

    en.wikipedia.org/wiki/Aggregate_function

    The listagg function, as defined in the SQL:2016 standard [2] aggregates data from multiple rows into a single concatenated string. In the entity relationship diagram, aggregation is represented as seen in Figure 1 with a rectangle around the relationship and its entities to indicate that it is being treated as an aggregate entity. [3]

  6. Murfreesboro, North Carolina - Wikipedia

    en.wikipedia.org/wiki/Murfreesboro,_North_Carolina

    Murfreesboro was designated by the US Congress in 1790 as an official port of entry, and the customs records indicate a profitable three-cornered trade with New England and the West Indies. [citation needed] In 1809, the Hertford Academy was established in Murfreesboro, opening in 1811 for male students. In 1814, Harriet Sketchly and Martha ...

  7. Aggregate (data warehouse) - Wikipedia

    en.wikipedia.org/wiki/Aggregate_(data_warehouse)

    An aggregate is a type of summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason why aggregates can make such a dramatic increase in the performance of a data warehouse is the reduction of the number of rows to be accessed when responding to a query.