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Dimension Data was a company specialising in information technology services. Based in Johannesburg, South Africa, [2] the company maintained operations on every inhabited continent. [3] Dimension Data focused on services including IT consulting, technical and support services, and managed services.
For example, each sale is measured by the number of units sold, the unit price, and the total receipts. A dimension is a property, with a finite domain, that describes an analysis coordinate of the fact. A fact generally has multiple dimensions that define its minimum representation granularity.
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. These functions are often described as "slice and dice". A common data warehouse example involves sales as the measure, with customer and product as dimensions.
OpSource, Inc. is a cloud and managed services hosting company headquartered in Santa Clara, California.The company also has offices in Ashburn, Virginia, Ireland and India, and data centers in California, Virginia and the United Kingdom.
Northern Virginia is home to the highest concentration of data centers in the world. Loudoun officials tout the benefits, saying the centers generate a third of the county budget on just 3% of land.
For example, if a retail store sold a specific product, the quantity and prices of each item sold could be added or averaged to find the total number of items sold or the total or average price of the goods sold.
One good design rule [1] is to never store percentages or ratios in fact tables but only calculate these in the data access tool. Thus, only store the numerator and denominator in the fact table, which then can be aggregated, and the aggregated stored values can then be used for calculating the ratio or percentage in the data access tool.
Fact_Sales is the fact table and there are three dimension tables Dim_Date, Dim_Store and Dim_Product. Each dimension table has a primary key on its Id column, relating to one of the columns (viewed as rows in the example schema) of the Fact_Sales table's three-column (compound) primary key (Date_Id, Store_Id, Product_Id).