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  2. Codd's 12 rules - Wikipedia

    en.wikipedia.org/wiki/Codd's_12_rules

    Codd's twelve rules [1] are a set of thirteen rules (numbered zero to twelve) proposed by Edgar F. Codd, a pioneer of the relational model for databases, designed to define what is required from a database management system in order for it to be considered relational, i.e., a relational database management system (RDBMS).

  3. Chase (algorithm) - Wikipedia

    en.wikipedia.org/wiki/Chase_(algorithm)

    The chase is a simple fixed-point algorithm testing and enforcing implication of data dependencies in database systems. It plays important roles in database theory as well as in practice. It is used, directly or indirectly, on an everyday basis by people who design databases, and it is used in commercial systems to reason about the consistency ...

  4. Entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Entity–relationship_model

    Entity–relationship modeling was developed for database and design by Peter Chen and published in a 1976 paper, [2] with variants of the idea existing previously. [3] Today it is commonly used for teaching students the basics of database structure.

  5. Database testing - Wikipedia

    en.wikipedia.org/wiki/Database_testing

    Thus, it is important to test in order to obtain a database system which satisfies the ACID properties (Atomicity, Consistency, Isolation, and Durability) of a database management system. [ 1 ] One of the most critical layers is the data access layer, which deals with databases directly during the communication process.

  6. Optimistic concurrency control - Wikipedia

    en.wikipedia.org/wiki/Optimistic_concurrency_control

    For others, the application can implement an OCC layer outside of the database, and avoid waiting or silently overwriting records. In such cases, the form may include a hidden field with the record's original content, a timestamp, a sequence number, or an opaque token. On submit, this is compared against the database.

  7. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Database normalization is the process of structuring a relational database accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist Edgar F. Codd as part of his relational model .

  8. MongoDB (MDB) Q3 2025 Earnings Call Transcript - AOL

    www.aol.com/mongodb-mdb-q3-2025-earnings...

    Image source: The Motley Fool. MongoDB (NASDAQ: MDB) Q3 2025 Earnings Call Dec 09, 2024, 5:00 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...

  9. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    Database model for MediaWiki 1.28.0 (2017) Different types of database models A database model is a type of data model that determines the logical structure of a database.It fundamentally determines in which manner data can be stored, organized and manipulated.