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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. 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. [6] 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:

  4. Data management - Wikipedia

    en.wikipedia.org/wiki/Data_management

    However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).

  5. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Data analysis is a systematic method of cleaning, transforming and modelling statistical or logical techniques to describe and evaluate data. [44] Using data analysis as an analytical skill means being able to examine large volumes of data and then identifying trends within the data.

  6. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa

  7. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]

  8. How “Not One More Vet” is Revolutionizing Veterinary Well-Being

    www.aol.com/not-one-more-vet-revolutionizing...

    As Tsontos notes, finances and well-being are often intertwined. NOMV’s services don’t just reach top veterinarians either. “We do support everybody who works in the veterinary community.

  9. Data technology - Wikipedia

    en.wikipedia.org/wiki/Data_technology

    The big data market is expected to reach $156.72 billion by 2026. [8] Spendings on data, including data technologies, in digital marketing reach $26.0 B in 2019 globally. [9] [10] Data technologies are developed to help manage data generated by human or by machines, which will be 200 billion by 2020. [11]