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2. Dimension (data warehouse) - Wikipedia

   en.wikipedia.org/wiki/Dimension_(data_warehouse)

   In a data warehouse, dimensions provide structured labeling information to otherwise unordered numeric measures. The dimension is a data set composed of individual, non-overlapping data elements . The primary functions of dimensions are threefold: to provide filtering, grouping and labelling.

3. Fact table - Wikipedia

   en.wikipedia.org/wiki/Fact_table

   In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these are arranged as a fact constellation schema.

4. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   Thus, this type of modeling technique is very useful for end-user queries in data warehouse. The model of facts and dimensions can also be understood as a data cube, [22] where dimensions are the categorical coordinates in a multi-dimensional cube, the fact is a value corresponding to the coordinates.

5. Dimensional fact model - Wikipedia

   en.wikipedia.org/wiki/Dimensional_fact_model

   Optional arcs are marked with a dash. For instance, attribute diet in Figure 2 takes a value (such as cholesterol-free, gluten-free, or sugar-free) only for food products; for the other products, it is undefined. A multiple arc models a many-to-many association between the two dimensional attributes it connects. Graphically, it is denoted by ...

6. Dimensional modeling - Wikipedia

   en.wikipedia.org/wiki/Dimensional_modeling

   Dimensions are the foundation of the fact table, and is where the data for the fact table is collected. Typically dimensions are nouns like date, store, inventory etc. These dimensions are where all the data is stored. For example, the date dimension could contain data such as year, month and weekday. Identify the facts

7. Star schema - Wikipedia

   en.wikipedia.org/wiki/Star_schema

   In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1] The star schema consists of one or more fact tables referencing any number of dimension tables .

8. HuffPost Data

   data.huffingtonpost.com

   HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software. Remix thousands of aggregated polling results. Keep up with our latest on Twitter and Tumblr. Special Elections

9. Aggregate (data warehouse) - Wikipedia

   en.wikipedia.org/wiki/Aggregate_(data_warehouse)

   When facts are aggregated, it is either done by eliminating dimensionality or by associating the facts with a rolled up dimension. Rolled up dimensions should be shrunken versions of the dimensions associated with the granular base facts. This way, the aggregated dimension tables should conform to the base dimension tables. [2]