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  2. Big data maturity model - Wikipedia

    en.wikipedia.org/wiki/Big_Data_Maturity_Model

    They provide tools that assist organizations to define goals around their big data program and to communicate their big data vision to the entire organization. BDMMs also provide a methodology to measure and monitor the state of a company's big data capability, the effort required to complete their current stage or phase of maturity and to ...

  3. Data warehouse appliance - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse_appliance

    "Data warehouse appliance" is a term coined by Foster Hinshaw, [1] [2] the founder of Netezza.In creating the first data warehouse appliance, Hinshaw and Netezza used the foundations developed by Model 204, Teradata, and others, to pioneer a new category to address consumer analytics efficiently by providing a modular, scalable, easy-to-manage database system that’s cost effective.

  4. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Data journalism: publishers and journalists use big data tools to provide unique and innovative insights and infographics. Channel 4, the British public-service television broadcaster, is a leader in the field of big data and data analysis. [98]

  5. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.

  6. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    GATE: a natural language processing and language engineering tool. KNIME: The Konstanz Information Miner, a user-friendly and comprehensive data analytics framework. Massive Online Analysis (MOA): a real-time big data stream mining with concept drift tool in the Java programming language.

  7. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    MOLAP stores this data in an optimized multi-dimensional array storage, rather than in a relational database. Some MOLAP tools require the pre-computation and storage of derived data, such as consolidations – the operation known as processing. Such MOLAP tools generally utilize a pre-calculated data set referred to as a data cube. The data ...

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