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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

  3. Large numbers - Wikipedia

    en.wikipedia.org/wiki/Large_numbers

    Large numbers, far beyond those encountered in everyday life—such as simple counting or financial transactions—play a crucial role in various domains.

  4. Trillion - Wikipedia

    en.wikipedia.org/wiki/Trillion

    Trillion is a number with two distinct definitions: 1,000,000,000,000, i.e. one million million, or 10 12 (ten to the twelfth power), as defined on the short scale. This is now the meaning in both American and British English. 1,000,000,000,000,000,000, i.e. 10 18 (ten to the eighteenth power), as defined on the long scale. This is one million ...

  5. Data cube - Wikipedia

    en.wikipedia.org/wiki/Data_cube

    Data cube - Wikipedia

  6. Data-intensive computing - Wikipedia

    en.wikipedia.org/wiki/Data-intensive_computing

    Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes or petabytes in size and typically referred to as big data. Computing applications that devote most of their execution time to computational requirements are deemed compute-intensive ...

  7. Big numbers - Wikipedia

    en.wikipedia.org/wiki/Big_Numbers

    Big numbers may refer to: Large numbers, numbers that are significantly larger than those ordinarily used in everyday life; Arbitrary-precision arithmetic, also ...

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  9. Very large database - Wikipedia

    en.wikipedia.org/wiki/Very_large_database

    A very large database, (originally written very large data base) or VLDB, [1] is a database that contains a very large amount of data, so much that it can require specialized architectural, management, processing and maintenance methodologies. [2] [3] [4] [5]