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2. Cardinality (data modeling) - Wikipedia

   en.wikipedia.org/wiki/Cardinality_(data_modeling)

   Within data modelling, cardinality is the numerical relationship between rows of one table and rows in another. Common cardinalities include one-to-one , one-to-many , and many-to-many . Cardinality can be used to define data models as well as analyze entities within datasets.

3. One-to-many (data model) - Wikipedia

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

   This is also called a foreign key constraint, which is important to keep data from being duplicated and have relationships within the database stay reliable as more information is added. Many-to-many relationships are not able to be used in relational databases and must be converted to one-to-many relationships.

4. One-to-one (data model) - Wikipedia

   en.wikipedia.org/wiki/One-to-one_(data_model)

   A country has only one capital city, and a capital city is the capital of only one country. (Not valid for some countries).. In systems analysis, a one-to-one relationship is a type of cardinality that refers to the relationship between two entities (see also entity–relationship model) A and B in which one element of A may only be linked to one element of B, and vice versa.

5. 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.

6. Snowflake schema - Wikipedia

   en.wikipedia.org/wiki/Snowflake_schema

   The snowflake schema is in the same family as the star schema logical model. In fact, the star schema is considered a special case of the snowflake schema. The snowflake schema provides some advantages over the star schema in certain situations, including: Some OLAP multidimensional database modeling tools are optimized for snowflake schemas. [3]

7. Barker's notation - Wikipedia

   en.wikipedia.org/wiki/Barker's_notation

   Barker's notation refers to the ERD notation developed by Richard Barker, Ian Palmer, Harry Ellis et al. whilst working at the British consulting firm CACI around 1981. The notation was adopted by Barker when he joined Oracle and is effectively defined in his book Entity Relationship Modelling as part of the CASE Method series of books.