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  2. Service normalization pattern - Wikipedia

    en.wikipedia.org/wiki/Service_Normalization_Pattern

    Service normalization is a design pattern, applied within the service-orientation design paradigm, whose application ensures that services [1] that are part of the same service inventory [2] do not contain any redundant functionality. [3]

  3. Boyce–Codd normal form - Wikipedia

    en.wikipedia.org/wiki/Boyce–Codd_normal_form

    Boyce–Codd normal form (BCNF or 3.5NF) is a normal form used in database normalization. It is a slightly stricter version of the third normal form (3NF). By using BCNF, a database will remove all redundancies based on functional dependencies.

  4. ServiceNow - Wikipedia

    en.wikipedia.org/wiki/ServiceNow

    ServiceNow, Inc. is an American software company based in Santa Clara, California, that supplies a cloud computing platform for the creation and management of automated business workflows. It is used predominantly for the automation of information technology process, for example, the reporting and resolution of issues impacting am organization ...

  5. Second normal form - Wikipedia

    en.wikipedia.org/wiki/Second_normal_form

    Second normal form (2NF), in database normalization, is a normal form. A relation is in the second normal form if it fulfills the following two requirements: It is in first normal form. It does not have any non-prime attribute that is functionally dependent on any proper subset of any candidate key of the relation (i.e. it lacks partial ...

  6. Fifth normal form - Wikipedia

    en.wikipedia.org/wiki/Fifth_normal_form

    Fifth normal form (5NF), also known as projection–join normal form (PJ/NF), is a level of database normalization designed to remove redundancy in relational databases recording multi-valued facts by isolating semantically related multiple relationships.

  7. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    Normalization splits up data to avoid redundancy (duplication) by moving commonly repeating groups of data into new tables. Normalization therefore tends to increase the number of tables that need to be joined in order to perform a given query, but reduces the space required to hold the data and the number of places where it needs to be updated if the data changes.