What is difference between fact and dimension?

What is difference between fact and dimension?

KEY DIFFERENCE Fact table contains measurements, metrics, and facts about a business process while the Dimension table is a companion to the fact table which contains descriptive attributes to be used as query constraining. Fact table helps to store report labels whereas Dimension table contains detailed data.

Which one is an example of a fact measure?

Price, Cost, Quantity, Marks are examples of a fact. Aggregating a fact helps in measuring performance of a business/student/process etc. So an aggregated fact is a measure. Sales, Margin, Total Marks are examples of measures.

What is measure in fact table?

Fact table holds the measures data for measuring the performance of your business. Your business might be sales, purchasing, inventory, logistics, banking, telephony data, and many more.

What is measures in data warehouse?

In a data warehouse, a measure is a property on which calculations (e.g., sum, count, average, minimum, maximum) can be made.

What types are the facts and measures?

There are three types of facts: Additive: Additive facts are facts that can be summed up through all of the dimensions in the fact table. Semi-Additive: Semi-additive facts are facts that can be summed up for some of the dimensions in the fact table, but not the others.

What is the difference between fact and dimension table with examples?

The main difference between fact table or reality table and the Dimension table is that dimension table contains attributes on that measures are taken actually table. 1. Fact table contains the measuring on the attributes of a dimension table.

What makes a fact table?

A fact table is the central table in a star schema of a data warehouse. A fact table stores quantitative information for analysis and is often denormalized. The foreign keys column allows joins with dimension tables, and the measures columns contain the data that is being analyzed.

What is a dimension and measure?

Dimensions contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view. Measures contain numeric, quantitative values that you can measure. Measures can be aggregated.

Is a fact a measure?

Facts are the measurements that result from a business process event and are almost always numeric. A single fact table row has a one-to-one relationship to a measurement event as described by the fact table’s grain.

What is a measure in a fact table?

A measure is normally an additive numerical value that represents a business metric. You are also not limited to a single measure. You can have multiple measures within a fact table. For example, if your fact table is used to track purchases internationally you might have measures for each type of currency.

What is the difference between fact and dimension tables?

Fact table contains a primary key which is a concatenation of primary keys of all dimension table. Each dimension table contains its primary key. Fact table can be created only when dimension tables are completed. Dimension tables need to be created first.

What is an example of a fact fact?

In this type of facts, measures may be added to some dimensions and not with others. It stores some basic unit of measurement of a business process. Some real-world examples include sales, phone calls, and orders. Conformed dimensions is the very fact to which it relates.

What is factfact table?

Fact table is a measurable event for which dimension table data is collected and is used for analysis and reporting. Collection of reference information about a business. Type of Data. Facts tables could contain information like sales against a set of dimensions like Product and Date.