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  2. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Without sufficient investment in expertise for big data veracity, the volume and variety of data can produce costs and risks that exceed an organization's capacity to create and capture value from big data. [5] Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other ...

  3. 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).

  4. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps was first introduced by Lenny Liebmann, Contributing Editor, InformationWeek, in a blog post on the IBM Big Data & Analytics Hub titled "3 reasons why DataOps is essential for big data success" on June 19, 2014. [7] The term DataOps was later popularized by Andy Palmer of Tamr and Steph Locke. [8] [4] DataOps is a moniker for "Data ...

  5. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software

  6. 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:

  7. Analytical skill - Wikipedia

    en.wikipedia.org/wiki/Analytical_skill

    Research involves the collection and analysis of information and data with the intention of founding new knowledge and/or deciphering a new understanding of existing data. [42] Research ability is an analytical skill as it allows individuals to comprehend social implications. [ 40 ]

  8. Software analytics - Wikipedia

    en.wikipedia.org/wiki/Software_analytics

    The term has become well known in the software engineering research community after a series of tutorials and talks on software analytics were given by Zhang and her colleagues, in collaboration with Tao Xie from North Carolina State University, at software engineering conferences including a tutorial at the IEEE/ACM International Conference on ...

  9. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Alpine Data Labs, an analytics interface working with Apache Hadoop and big data; AvocaData, a two sided marketplace allowing consumers to buy & sell data with ease. Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud