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  2. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    Snowflake schema used by example query. The example schema shown to the right is a snowflaked version of the star schema example provided in the star schema article. The following example query is the snowflake schema equivalent of the star schema example code which returns the total number of television units sold by brand and by country for 1997.

  3. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1] The star schema consists of one or more fact tables referencing any number of dimension tables. The star schema is an important special case of the snowflake schema ...

  4. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The formal definition of a database schema is a set of formulas (sentences) called integrity constraints imposed on a database. [citation needed] These integrity constraints ensure compatibility between parts of the schema. All constraints are expressible in the same language. A database can be considered a structure in realization of the ...

  5. Anchor modeling - Wikipedia

    en.wikipedia.org/wiki/Anchor_Modeling

    Anchor modeling is an agile database modeling technique suited for information that changes over time both in structure and content. It provides a graphical notation used for conceptual modeling similar to that of entity-relationship modeling, with extensions for working with temporal data. The modeling technique involves four modeling ...

  6. Data cooperative - Wikipedia

    en.wikipedia.org/wiki/Data_Cooperative

    A data cooperative is a group of individuals voluntarily pooling together their data. [1] As an entity, a data cooperative is a type of data infrastructure, formed through the voluntary and collaborative pooling efforts of individuals. Data cooperatives allow individuals to get paid for the data they create and to exercise more pricing power ...

  7. Data sharing - Wikipedia

    en.wikipedia.org/wiki/Data_sharing

    Data sharing. The decision whether and how to share data often rests with researchers. Data sharing is the practice of making data used for scholarly research available to other investigators. Many funding agencies, institutions, and publication venues have policies regarding data sharing because transparency and openness are considered by many ...

  8. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc —property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design. The use-case targets applications which offer a ...

  9. Snowflake Inc. - Wikipedia

    en.wikipedia.org/wiki/Snowflake_Inc.

    Snowflake Inc. was founded in July 2012 in San Mateo, California by Benoît Dageville, Thierry Cruanes and Marcin Żukowski. Dageville and Cruanes previously worked as data architects at Oracle Corporation; Żukowski was a co-founder of Vectorwise. Mike Speiser, a venture capitalist at Sutter Hill Ventures, which provided early funding to the ...