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  2. Schema crosswalk - Wikipedia

    en.wikipedia.org/wiki/Schema_crosswalk

    Crosswalk tables are often employed within or in parallel to enterprise systems, especially when multiple systems are interfaced or when the system includes legacy system data. In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to ...

  3. MultiValue database - Wikipedia

    en.wikipedia.org/wiki/MultiValue_database

    In a MultiValue database system: a database or schema is called an "account" a table or collection is called a "file" a column or field is called a field or an "attribute", which is composed of "multi-value attributes" and "sub-value attributes" to store multiple values in the same attribute. a row or document is called a "record" or "item"

  4. Issue-based information system - Wikipedia

    en.wikipedia.org/wiki/Issue-based_information_system

    The issue-based information system (IBIS) is an argumentation-based approach to clarifying wicked problems—complex, ill-defined problems that involve multiple stakeholders. [1] Diagrammatic visualization using IBIS notation is often called issue mapping. [2]: ix IBIS was invented by Werner Kunz and Horst Rittel in the 1960s. According to Kunz ...

  5. Schema matching - Wikipedia

    en.wikipedia.org/wiki/Schema_matching

    The terms schema matching and mapping are often used interchangeably for a database process. For this article, we differentiate the two as follows: schema matching is the process of identifying that two objects are semantically related (scope of this article) while mapping refers to the transformations between the objects. For example, in the ...

  6. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  7. Data mapping - Wikipedia

    en.wikipedia.org/wiki/Data_mapping

    In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration tasks, including: [1] Data transformation or data mediation between a data source and a destination

  8. Shadow table - Wikipedia

    en.wikipedia.org/wiki/Shadow_table

    A relational DBM uses related data fields (columns) to correlate information between tables. [5] For example, two tables, transaction_user and transaction_amount, would both contain the column "key", and keys between tables would match, making it easy to find both the user and the amount of a specific transaction if the key is known.

  9. Hierarchical database model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_database_model

    A hierarchical database model is a data model in which the data is organized into a tree-like structure. The data are stored as records which is a collection of one or more fields . Each field contains a single value, and the collection of fields in a record defines its type .