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fact table vs dimension table

by Isaac Jaskolski Jr. Published 3 years ago Updated 2 years ago

Fact Table vs Dimension Table Comparison Table

Characteristics Fact Table Dimension Table
Basic Definition It contains measurements, facts or metri ... It is the companion table that contains ...
Design It is defined by data grain. It is descriptive, complete and wordy.
Task It contains measures and is used for ana ... It contains information about a business ...
Type of Data It contains data in both numeric as well ... It contains data in only textual format.
Apr 24 2022

A fact table holds the data to be analyzed, and a dimension table stores data about the ways in which the data in the fact table can be analyzed.

Full Answer

How to identify fact and dimension tables?

Types of Dimension Table

  1. SCD (Slowly Changing Dimensions) The dimension attributes that tend to change slowly with time rather than changing in a regular interval of time are called slowly changing dimensions.
  2. Conformed Dimension. This dimension is shared among multiple subject areas or data marts. ...
  3. Junk Dimension. ...
  4. Degenerate Dimension. ...
  5. Roleplay Dimension. ...

Why do we load dimension table before fact table?

This is why all the dimension tables must be populated first before we populate the fact tables: because we need the surrogate keys on the dimension tables to translate the fact table natural keys. This is the very basic and the very heart of data warehouse loading, so it is important to understand it.

What are facts and dimension tables?

Why and how to Keep Dimensions & Facts tables separate – DAX modeling

  • Facts Tables. A facts table contains data about something that happened that you want to analyse. ...
  • Dimensions Table. A dimensions table is something that describes a fact. For Example, the name of a customer or product.
  • Relationships. Facts tables and Dimension tables are joined together in Power Pivot or Power BI by the use of a relationship.

Are dimension tables and domain tables the same thing?

is that domain is a geographic area owned or controlled by a single person or organization while dimension is a single aspect of a given thing. to mark, cut or shape something to specified dimensions. Other Comparisons: What's the difference?

What is fact table and dimension table with example?

Difference between Fact Table and Dimension Table:S.NOFact Table1.Fact table contains the measuring on the attributes of a dimension table.2.In fact table, There is less attributes than dimension table.3.In fact table, There is more records than dimension table.4.Fact table forms a vertical table.4 more rows•Jun 14, 2021

What is the relationship between fact and dimension tables?

As a rule, each foreign key of the fact table must have its counterpart in a dimension table. Additionally, any table in a dimensional database that has a composite key must be a fact table. This means that every table in a dimensional database that expresses a many-to-many relationship is a fact table.

Are fact tables normalized or denormalized?

A fact table is always DENORMALISED table. It consists of data from dimension table (Primary Key's) and Fact table has Foreign keys and measures.

Can you join two fact tables?

The answer for both is "Yes, you can", but then also "No, you shouldn't". Joining fact tables is a big no-no for four main reasons: 1. Fact tables tend to have several keys (FK), and each join scenario will require the use of different keys.

What is a fact table?

Fact table is a measurable event for which dimension table data is collected and is used for analysis and reporting.

What is dimension table?

Dimension table: A dimension table contains dimensions of a fact. They are joined to fact table via a foreign key. Dimension tables are de-normalized tables. The Dimension Attributes are the various columns in a dimension table. Dimensions offers descriptive characteristics of the facts with the help of their attributes.

What is companion table to fact table?

Companion table to the fact table contains descriptive attributes to be used as query constraining.

What is a secondary dimension called?

A dimension may have a reference to another dimension table. These secondary dimensions called outrigger dimensions. This kind of Dimensions should be used carefully.

Why is it important to have a single physical dimension?

A single physical dimension helps to reference multiple times in a fact table as each reference linking to a logically distinct role for the dimension.

What is a degenerate dimension?

Degenerate dimension is without corresponding dimension. It is used in the transaction and collecting snapshot fact tables. This kind of dimension does not have its dimension as it is derived from the fact table. They are used when the same fact table is paired with different versions of the same dimension.

Where is the dimension table located?

Fact table is located at the center of a star or snowflake schema, whereas the Dimension table is located at the edges of the star or snowflake schema.

What is a fact table?

Fact tables. Fact tables are tables whose records are immutable "facts", such as service logs and measurement information. Records are progressively appended into the table in a streaming fashion or in large chunks. The records stay there until they're removed because of cost or because they've lost their value.

Why do records stay in fact tables?

The records stay there until they're removed because of cost or because they've lost their value. Records are otherwise never updated. Entity data is sometimes held in fact tables, where the entity data changes slowly.

What is a hold reference?

Hold reference data, such as lookup tables from an entity identifier to its properties

Can dimension tables be derived from fact tables?

Sometimes, dimension tables might be derived from fact tables. This process can be done via an update policy on the fact table, with a query on the table that takes the last record for each entity.

Is a dimension table a fact table?

Fact tables only process newly ingested data, and dimension tables are used as lookups. As such, the entire table must be taken into account. There's no way to "mark" a table as being a "fact table" or a "dimension table". The way data is ingested into the table, and how the table is used, is what identifies its type.

What is the difference between a fact table and a dimension table?

The data in both the tables can be in normal text format, while fact tables can have numbers along with the texts.

What is dimension table?

Dimension Table. A dimension table contains the dimensions along which the values of the attributes are taken in the fact table. Dimension tables are small in size, contains only several thousand rows but the size can be increased occasionally. These tables are associated with a fact table through foreign keys.

What are the dimensions that have reference to any other dimension table called?

Outrigger Dimensions: The dimensions that have reference to any other dimension table are called as outrigger dimensions. Shrunken Rollup Dimensions: The dimensions which are the subdivision of columns and rows of the base dimension are called Shrunken Rollup dimensions.

Why isn't the dimension table normalized?

Normalization: Dimension table is not normalized because normalization splits the data and creates additional tables which decrease the efficiency of the query execution as it must pass through these additional tables when it wants to recover measurements from the fact table for any corresponding attribute in the dimension table.

What is a concatenated key in a fact table?

Such key is called a concatenated key which uniquely identifies the row of the fact table.

How many columns are there in a fact table?

Fact tables mostly have two columns, one for foreign keys that helps to join them with a dimension table and others that contains the value or data that need to be analyzed. It mostly contains numeric data. It grows vertically and it contains more records and fewer attributes. Start Your Free Data Science Course.

What is the grain of a fact table?

Fact Table Grain: Grain of the table means the level of the detail or the deepness of the information that is stored in the fact table. The level must be the highest for designing an efficient fact table.

What is the difference between a fact table and a dimensional table?

On the other hand, fact tables provide the measurements of an enterprise. When comparing the size of the two tables, a fact table is bigger than a dimensional table.

Why do you need to look at the dimension table when loading a fact table?

While loading the fact tables, one should have to look at the dimension table. This is because the fact table has measures, facts, and foreign keys that are the primary keys in the dimension table.

What is the name of the table that maintains information about the characterized date?

Dimension table : It is nothing but we can maintains information about the characterized date called as Dimension table.

Why do you need to load the dimension table first?

While loading the fact tables, one should have to look at the dimension table. This is because the fact table has measures, facts, and foreign keys that are the primary keys in the dimension table.

What is the difference between a comparison table and a fact table?

In a comparison table, more dimensions are presented than the fact tables. In a fact table, less numbers of facts are observed. The dimension table has to be loaded first. While loading the fact tables, one should have to look at the dimension table.

What is dimension table?

A dimension table consists mainly of descriptive attributes that are textual fields. A dimension table contains a surrogate key, natural key, and a set of attributes. On the contrary, a fact table contains a foreign key, measurements, and degenerated dimensions.

When comparing the size of the two tables, a fact table is bigger than a dimensional table?

When comparing the size of the two tables, a fact table is bigger than a dimensional table. In a comparison table, more dimensions are presented than the fact tables. In a fact table, less numbers of facts are observed.

Which has more dimensions, schema or fact table?

The schema contains more dimensions in comparison to fact table.

What is dimension table?

It forms a horizontal table. The attribute format is in text form. It occurs before the fact table. The schema contains more dimensions in comparison to fact table. The dimension table helps store information about business and its process.

What is fact table schema?

In a schema, the number of fact tables are less in comparison to number of dimension tables. The attributes in a fact table can be in numerical or text format. It can be used for analysis, and decision-making process.

What format are the attributes in a fact table?

The attributes in a fact table can be in numerical or text format.

Can a dimension table be a combination of attributes?

It can be a combination of attributes from completely different dimension table.

Fact Table

Image
It is a table that has values of the attributes of the dimension table. It contains quantitative information in a denormalized form. It basically contains the data that needs to be analyzed. Fact tables mostly have two columns, one for foreign keys that helps to join them with a dimension table and others that contains the value …
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Dimension Table

  • A dimension table contains the dimensions along which the values of the attributes are taken in the fact table. Dimension tables are small in size, contains only several thousand rows but the size can be increased occasionally. These tables are associated with a fact table through foreign keys. These tables are de-normalized. The dimension table contains hierarchical relationships a…
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Key Differences Between Fact Table and Dimension Table

  • Let us discuss some of the major differences between Fact Table vs Dimension Table. 1. Fact Table contains the values or measurements of the attributes of the dimension table. 2. Fact table comprises of fewer attributes and more records whereas the dimension table comprises of lesser records and more attributes. 3. The fact table grows vertically w...
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Conclusion

  • In this article, we read about the fact table vs dimension table and the differences between them in detail. These tables are important for developing a schema. Dimension table is a companion of the fact table and both are necessary for each other.
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  • This has been a guide to Fact Table vs Dimension Table. Here we also discuss the key differences with infographics and comparison table. You can also go through our other suggested articles to learn more – 1. Data Warehouse vs Data Mart 2. Difference between AUTOCAD vs CATIA 3. DOS vs Windows – Top Comparison 4. White Box Testing vs Black Box Testing 5. Types, Features, an…
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      • 25. /vendor/outl1ne/nova-menu-builder/src/helpers.php:33
      • 27. /vendor/laravel/framework/src/Illuminate/Routing/Controller.php:54
      • 28. /vendor/laravel/framework/src/Illuminate/Routing/ControllerDispatcher.php:45
      • 29. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:261
    • select `id`, `post_title`, `slug` from `posts` where `status` = 'publish' and `posts`.`deleted_at` is null order by RAND() limit 10
      2.5s/app/View/Composers/SidebarView.php:22receivinghelpdeskask
      Metadata
      Bindings
      • 0. publish
      Backtrace
      • 14. /app/View/Composers/SidebarView.php:22
      • 15. /app/View/Composers/SidebarView.php:12
      • 16. /vendor/laravel/framework/src/Illuminate/View/Concerns/ManagesEvents.php:124
      • 17. /vendor/laravel/framework/src/Illuminate/View/Concerns/ManagesEvents.php:162
      • 20. /vendor/laravel/framework/src/Illuminate/View/Concerns/ManagesEvents.php:177
    • select * from `fake_users` where `fake_users`.`id` = 43662 limit 1
      1.57msview::2dd102cf0462e89a4d4d8bc77355d767652bf9aa:15receivinghelpdeskask
      Metadata
      Bindings
      • 0. 43662
      Backtrace
      • 21. view::2dd102cf0462e89a4d4d8bc77355d767652bf9aa:15
      • 23. /vendor/laravel/framework/src/Illuminate/Filesystem/Filesystem.php:108
      • 24. /vendor/laravel/framework/src/Illuminate/View/Engines/PhpEngine.php:58
      • 25. /vendor/livewire/livewire/src/ComponentConcerns/RendersLivewireComponents.php:69
      • 26. /vendor/laravel/framework/src/Illuminate/View/Engines/CompilerEngine.php:61
    App\Models\FakeUser
    1
    Outl1ne\MenuBuilder\Models\MenuItem
    1
    Outl1ne\MenuBuilder\Models\Menu
    1
    App\Models\JsonPostContent
    1
    App\Models\Post
    11
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        PHPDEBUGBAR_STACK_DATA
        []
        path_info
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        status_code
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        status_text
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        format
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        content_type
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        request_request
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