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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. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    In-memory data structures: One can use hash tables and two-dimensional arrays in memory in conjunction with attribute-grouping metadata to pivot data, one group at a time. This data is written to disk as a flat delimited file, with the internal names for each attribute in the first row: this format can be readily bulk-imported into a relational ...

  4. Many-to-many (data model) - Wikipedia

    en.wikipedia.org/wiki/Many-to-many_(data_model)

    For example, think of A as Authors, and B as Books. An Author can write several Books, and a Book can be written by several Authors. In a relational database management system, such relationships are usually implemented by means of an associative table (also known as join table, junction table or cross-reference table), say, AB with two one-to-many relationships A → AB and B → AB.

  5. 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. [7] [8] It is maintained by the Django Software Foundation (DSF), an independent organization established in the US as a ...

  6. Update (SQL) - Wikipedia

    en.wikipedia.org/wiki/Update_(SQL)

    When using FROM, one should ensure that the join produces at most one output row for each row to be modified. In other words, a target row shouldn't join to more than one row from the other table(s). If it does, then only one of the join rows will be used to update the target row, but which one will be used is not readily predictable. [2]

  7. Slowly changing dimension - Wikipedia

    en.wikipedia.org/wiki/Slowly_changing_dimension

    You don't need to reprocess the fact table if there is a change in the dimension table (e.g. adding additional fields retrospectively which change the time slices, or if one makes a mistake in the dates on the dimension table one can correct them easily). You can introduce bi-temporal dates in the dimension table.

  8. Georgia is turning to backup Gunner Stockton at quarterback ...

    www.aol.com/georgia-turning-backup-gunner...

    No. 2 Georgia is resting its national championship hopes on backup quarterback Gunner Stockton following Carson Beck's season-ending elbow surgery on Monday. Coach Kirby Smart said Monday that ...

  9. Wide-column store - Wikipedia

    en.wikipedia.org/wiki/Wide-column_store

    It uses tables, rows, and columns, but unlike a relational database, the names and format of the columns can vary from row to row in the same table. A wide-column store can be interpreted as a two-dimensional key–value store. [1] Google's Bigtable is one of the prototypical examples of a wide-column store. [2]