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  2. Orders of magnitude (data) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude_(data)

    15,360 bits – one screen of data displayed on an 8-bit monochrome text console (80x24) 2 14: 16,384 bits (2 kibibytes) – one page of typed text, [4] RAM capacity of Nintendo Entertainment System: 2 15: 32,768 bits (4 kibibytes) 2 16: 65,536 bits (8 kibibytes) 10 5: 100,000 bits 2 17: 131,072 bits (16 kibibytes) – RAM capacity of the ...

  3. Dimension (data warehouse) - Wikipedia

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

    The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labelling. These functions are often described as "slice and dice". A common data warehouse example involves sales as the measure, with customer and product as dimensions.

  4. Data cube - Wikipedia

    en.wikipedia.org/wiki/Data_cube

    In computer programming contexts, a data cube (or datacube) is a multi-dimensional ("n-D") array of values. Typically, the term data cube is applied in contexts where these arrays are massively larger than the hosting computer's main memory; examples include multi-terabyte/petabyte data warehouses and time series of image data.

  5. Measure (data warehouse) - Wikipedia

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

    In a data warehouse, a measure is a property on which calculations (e.g., sum, count, average, minimum, maximum) can be made. A measure can either be categorical, algebraic or holistic. A measure can either be categorical, algebraic or holistic.

  6. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    The term big data has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term. [22] [23] Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time.

  7. Clustering high-dimensional data - Wikipedia

    en.wikipedia.org/wiki/Clustering_high...

    Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions.Such high-dimensional spaces of data are often encountered in areas such as medicine, where DNA microarray technology can produce many measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions ...

  8. Compositional data - Wikipedia

    en.wikipedia.org/wiki/Compositional_data

    In demography, a town may be a compositional data point in a sample of towns; a town in which 35% of the people are Christians, 55% are Muslims, 6% are Jews, and the remaining 4% are others would correspond to the quadruple [0.35, 0.55, 0.06, 0.04]. A data set would correspond to a list of towns.

  9. Data - Wikipedia

    en.wikipedia.org/wiki/Data

    The term data-driven is a neologism applied to an activity which is primarily compelled by data over all other factors. [citation needed] ...