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2. 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]

3. Operational data store - Wikipedia

   en.wikipedia.org/wiki/Operational_data_store

   An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support.

4. Anchor modeling - Wikipedia

   en.wikipedia.org/wiki/Anchor_Modeling

   Anchor modeling was created in order to take advantage of the benefits from a high degree of normalization while avoiding its drawbacks which higher normal forms have with regards to human readability.

5. Star schema - Wikipedia

   en.wikipedia.org/wiki/Star_schema

   The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries. [2] The star schema gets its name from the physical model's [3] resemblance to a star shape with a fact table at its center and the dimension tables surrounding it representing the star's points.

6. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   These data marts can then be integrated to create a comprehensive data warehouse. The data warehouse bus architecture is primarily an implementation of "the bus", a collection of conformed dimensions and conformed facts, which are dimensions that are shared (in a specific way) between facts in two or more data marts. [25]

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