Technical Terms
| • | Data Warehouse: |
Data Repository. Data of a Data Warehouse are stored synthetically. It contains data of several company sectors.
| • | Cube: |
In a Data Warehouse you can have several cubes, in which each cube has data of a company sector.
| • | Fact: |
Fact is the definition for the table that has indicators to be analyzed in queries. Besides, this table has keys that connect it with dimensions.
| • | Dimension: |
In the dimension, breaks to be analyzed in queries are defined. These breaks can also be called Attributes. For example, you can have a Customer dimension, a Product dimension, etc.
| • | Attributes: |
They are the characteristics of a dimension. For example: Code, Name, Address, State, etc.
| • | Indicators: |
They are the values to be analyzed.
| • | Metadata: |
It is the structure of cubes created, containing information about dimensions, attributes, and table-fact. It does not contain data.