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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. 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.

  3. List of battery sizes - Wikipedia

    en.wikipedia.org/wiki/List_of_battery_sizes

    3LR12 (4.5-volt), D, C, AA, AAA, AAAA (1.5-volt), A23 (12-volt), PP3 (9-volt), CR2032 (3-volt), and LR44 (1.5-volt) batteries. This is a list of the sizes, shapes, and general characteristics of some common primary and secondary battery types in household, automotive and light industrial use. The complete nomenclature for a battery specifies ...

  4. Power supply unit (computer) - Wikipedia

    en.wikipedia.org/wiki/Power_supply_unit_(computer)

    A power supply unit ( PSU) converts mains AC to low-voltage regulated DC power for the internal components of a desktop computer. Modern personal computers universally use switched-mode power supplies. Some power supplies have a manual switch for selecting input voltage, while others automatically adapt to the main voltage.

  5. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    Apache Hadoop ( / həˈduːp /) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. [vague] It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.

  6. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    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 data maturity model - Wikipedia

    en.wikipedia.org/wiki/Big_Data_Maturity_Model

    The TDWI big data maturity model is a model in the current big data maturity area and therefore consists of a significant body of knowledge. Maturity stages. The different stages of maturity in the TDWI BDMM can be summarized as follows: Stage 1: Nascent. The nascent stage as a pre–big data environment. During this stage:

  8. Data cube - Wikipedia

    en.wikipedia.org/wiki/Data_cube

    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.

  9. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud; B. Big Data Partnership, a professional services company based in London; Big Data Scoring, a cloud-based service that lets consumer lenders improve loan quality and acceptance rates through the use of big data