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  2. Active record pattern - Wikipedia

    en.wikipedia.org/wiki/Active_record_pattern

    [1] [2] The interface of an object conforming to this pattern would include functions such as Insert, Update, and Delete, plus properties that correspond more or less directly to the columns in the underlying database table. The active record pattern is an approach to accessing data in a database. A database table or view is wrapped into a class.

  3. Django (web framework) - Wikipedia

    en.wikipedia.org/wiki/Django_(web_framework)

    Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern .

  4. Create, read, update and delete - Wikipedia

    en.wikipedia.org/wiki/Create,_read,_update_and...

    In computer programming, create, read, update, and delete (CRUD) are the four basic operations (actions) of persistent storage. [1] CRUD is also sometimes used to describe user interface conventions that facilitate viewing, searching, and changing information using computer-based forms and reports .

  5. Data definition language - Wikipedia

    en.wikipedia.org/wiki/Data_definition_language

    Many data description languages use a declarative syntax to define columns and data types. Structured Query Language (SQL), however, uses a collection of imperative verbs whose effect is to modify the schema of the database by adding, changing, or deleting definitions of tables or other elements.

  6. Jinja (template engine) - Wikipedia

    en.wikipedia.org/wiki/Jinja_(template_engine)

    Jinja is a web template engine for the Python programming language.It was created by Armin Ronacher and is licensed under a BSD License.Jinja is similar to the Django template engine, but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox.

  7. 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.

  8. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    In situations where the number of unique values of a column is far less than the number of rows in the table, column-oriented storage allow significant savings in space through data compression. Columnar storage also allows fast execution of range queries (e.g., show all records where a particular column is between X and Y, or less than X.)

  9. Cypher (query language) - Wikipedia

    en.wikipedia.org/wiki/Cypher_(query_language)

    The GQL project proposal states the following: Using graph as a fundamental representation for data modeling is an emerging approach in data management. In this approach, the data set is modeled as a graph, representing each data entity as a vertex (also called a node) of the graph and each relationship between two entities as an edge between ...