# Difference between fact table and dimension table

A fact table is known as the document that contains all the measures, dimensions, costs and events related to the process of a business or undertaking carried out within a particular range. An all-dimensional table is known as the document that contains all the design-related measures and has descriptions of the factors, such as other attributes, lengths, time, and textual fields, such as discrete numbers.

## Key differences

• A fact table is known as the document that contains all the measures, dimensions, costs and events related to the process of a business or undertaking carried out within a certain range.
• Fact tables contain the data for a particular business process. On the other hand, dimension tables contain details about each instance of an object.
• A dimension table contains a surrogate key, a feature key, and a property arrangement. on the other hand, a fact table contains a remote key, estimates, and rejected measurements.
• A dimension table is known as the document that contains all the design-related measures and has descriptions of all the factors, such as attributes, lengths, time, and other textual fields, such as discrete numbers.
• The fact table is mainly made up of business updates and remote keys that refer to essential keys in the measurement tables. On the other hand, a dimension table is essentially made up of graphical features that are printed fields.
• The size of a fact table becomes much larger than the size of a dimension table, since the latter becomes part of the former and includes the necessary details to complete the entire cycle.

## What is the fact table?

A fact table is known as a document that contains all the measures, dimensions, costs, and events related to the process of a business or undertaking carried out within a certain range. It helps to keep track of all the things that help to complete the task.

In information storage, a fact table comprises the estimates, measurements, or realities of a business procedure. It is located at the focal point of a star map or a snowflake outline surrounded by analysis tables. When different fact tables are used, they are organized as a celestial body construction of reality.

A fact table typically has two types of segments: those that contain certainties and those that are a foreign key for measurement tables. The essential key of a fact table is usually a composite kernel that is made up of most of its remote keys.

Fact tables contain the essence of the information clearinghouse and store distinctive types of measures such as aggregate substance, non-aggregate substance, and semi-aggregate item rules. A fact table contains the information to drill down, and a measure table stores information about the paths in which the information in the fact table can be investigated. In this way, the fact table is made up of two types of sections.

The foreign key segment allows you to join measure tables, and the measure sections contain the information that is being dissected. There must be exceptional care when taking care of the proportions and the fare.

## What is the dimension table?

A dimension table is known as the document that contains all the design-related measures and has descriptions of all the factors such as attributes, lengths, time, and other textual fields as discrete numbers. It helps to ensure that all things are completed as per requirement.

In information storage, measurement is a collection of baseline data about a quantifiable occasion. These events are known as truths and are stored in a reality table.

Measurements classify and describe facts and clearinghouse measures in a way that reinforces meaningful answers to business questions. They shape the very center of dimensional visualization. The dimension tables contain information on each protest case.

For instance, the object dimension table would contain a record of everything sold in the store. You can incorporate data, for example, item cost, vendor, shading, sizes, and comparative information. Truth tables and measurement tables identify each other.

On the other hand, going back to our retail screen, the reality table for a customer exchange would likely contain a foreign key reference to the object measurement table, where the section is compared to an essential key in that table for a record that portrays the acquired object.

For example, in the local situation, we talk about the fact that purchases, returns and calls are current. On the other hand, customers, workers, things, and stores are measured and must be included in dimension tables.

Going back to our retail screen, the reality table for a customer’s exchange will likely contain a foreign key reference to the object measurement table, where the section is compared to an essential key in that table for a record that portrays the object acquired.

For instance, In the local situation, we talk about the fact that purchases, returns and calls are current. On the other hand, customers, workers, things, and stores are measured and must be included in dimension tables.