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  2. List of software architecture styles and patterns - Wikipedia

    en.wikipedia.org/wiki/List_of_software...

    Software architecture patterns operate at a higher level of abstraction than software design patterns, solving broader system-level challenges. While these patterns typically affect system-level concerns, the distinction between architectural patterns and architectural styles can sometimes be blurry. Examples include Circuit Breaker. [1] [2] [3]

  3. Kimball lifecycle - Wikipedia

    en.wikipedia.org/wiki/Kimball_lifecycle

    The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system. [1]

  4. Enterprise bus matrix - Wikipedia

    en.wikipedia.org/wiki/Enterprise_bus_matrix

    The bus matrix purpose is one of high abstraction and visionary planning on the data warehouse architectural level. By dictating coherency in the development and implementation of an overall data warehouse the bus architecture approach enables an overall vision of the broader enterprise integration and consistency while at the same time dividing the problem into more manageable parts [2 ...

  5. Architectural pattern - Wikipedia

    en.wikipedia.org/wiki/Architectural_pattern

    Software architecture pattern is a reusable, proven solution to a specific, recurring problem focused on architectural design challenges, which can be applied within various architectural styles. [ 1 ]

  6. Data architecture - Wikipedia

    en.wikipedia.org/wiki/Data_architecture

    A data architecture aims to set data standards for all its data systems as a vision or a model of the eventual interactions between those data systems. Data integration , for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems.

  7. Dimensional fact model - Wikipedia

    en.wikipedia.org/wiki/Dimensional_fact_model

    Data warehouses (DWs) are databases used by decision makers to analyze the status and the development of an organization. DWs are based on large amounts of data integrated from heterogeneous sources into multidimensional databases, and they are optimized for accessing data in a way that comes naturally to human analysts (e.g., OLAP applications).

  8. Anchor modeling - Wikipedia

    en.wikipedia.org/wiki/Anchor_Modeling

    The earliest installations using anchor modeling were made 2004 in Sweden when a data warehouse for an insurance company was built using the technique. In 2007 the technique was being used in a few data warehouses and one online transaction processing (OLTP) system, and it was presented internationally by Lars Rönnbäck at the 2007 ...

  9. GRASP (object-oriented design) - Wikipedia

    en.wikipedia.org/wiki/GRASP_(object-oriented_design)

    The indirection pattern supports low coupling and reuses potential between two elements by assigning the responsibility of mediation between them to an intermediate object. An example of this is the introduction of a controller component for mediation between data (model) and its representation (view) in the model-view-controller pattern.