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  2. Linked data - Wikipedia

    en.wikipedia.org/wiki/Linked_data

    In computing, linked data is structured data which is interlinked with other data so it becomes more useful through semantic queries. It builds upon standard Web technologies such as HTTP , RDF and URIs , but rather than using them to serve web pages only for human readers, it extends them to share information in a way that can be read ...

  3. Data vault modeling - Wikipedia

    en.wikipedia.org/wiki/Data_Vault_Modeling

    Dan Linstedt, the creator of the method, describes the resulting database as follows: "The Data Vault Model is a detail oriented, historical tracking and uniquely linked set of normalized tables that support one or more functional areas of business. It is a hybrid approach encompassing the best of breed between 3rd normal form (3NF) and star schema

  4. Dan Linstedt - Wikipedia

    en.wikipedia.org/wiki/Dan_Linstedt

    Daniel Linstedt is an American data architect and inventor of the data modeling method data vault for data warehouses and business intelligence. He developed the model in the 1990s and published the first version in the early 2000s. [1] In 2012, Data Vault 2.0 was announced [2] and it was released in 2013.

  5. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Liquidity risk - Wikipedia

    en.wikipedia.org/wiki/Liquidity_risk

    Liquidity risk arises from situations in which a party interested in trading an asset cannot do it because nobody in the market wants to trade for that asset. Liquidity risk becomes particularly important to parties who are about to hold or currently hold an asset, since it affects their ability to trade.

  8. Market liquidity - Wikipedia

    en.wikipedia.org/wiki/Market_liquidity

    In business, economics or investment, market liquidity is a market's feature whereby an individual or firm can quickly purchase or sell an asset without causing a drastic change in the asset's price.

  9. Tableau Software - Wikipedia

    en.wikipedia.org/wiki/Tableau_Software

    Tableau Software, LLC is an American interactive data visualization software company focused on business intelligence. [2] [3] It was founded in 2003 in Mountain View, California, and is currently headquartered in Seattle, Washington. [4]