type of fact tables

by Norene Johnston Published 4 years ago Updated 2 years ago

^{Types of Fact Tables}

Fact-less Fact Tables. A fact table that does not contain any measure is a fact-less fact table. This table will only contain keys from different dimension tables.
Centipede Fact Table. Centipede fact table is a normalized fact table. Modeller may decide to normalize the fact instead of snow flaking dimensions tables.
Conformed Fact Tables. They are measures re-used across multiple dimension models. A fact table stores some kind of measurements and are captured against a specific time.

There are three types of fact tables:

Transaction Fact Table. The transaction fact table is a basic approach to operate the businesses. ...
Snapshot Fact Table. The snapshot fact table describes the state of things at a particular time and contains many semi-additive and non-additive facts. ...
Accumulated Fact Sheet.

What are the different types of tables?

Types of Tables

Bedside table
Work table
Dining table (kitchen table)
Dressing table
Round table
End table
Changing table
Billiard table
Folding table
Tennis table

More items...

What is an example of a fact table?

Transaction fact table :

They are the most basic and fundamental fact table type
They hold data of the most detailed level, by having a great number of dimensions associated with it
This type of tables helps answer the “how many?” question. ...
The grain of transaction table is one row per transaction. ...
The metrics resulting from transactional events are typically additive

How to identify fact and dimension tables?

Types of Dimension Table

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.
Conformed Dimension. This dimension is shared among multiple subject areas or data marts. ...
Junk Dimension. ...
Degenerate Dimension. ...
Roleplay Dimension. ...

What are the different types of tables in statistics?

Key Statistics Outlines version of the tables used in Key Statistics releases
Standard Tables Outline versions of the Standard, Armed Forces and Theme tables used in some 2001 Census releases
Census Area Statistics Outline versions of the tables used in Census Area Statistics releases

More items...

How many types of fact tables are there?

There are three types of fact tables and entities: Transaction. A transaction fact table or transaction fact entity records one row per transaction. Periodic.

What is fact table and its types?

A fact table stores quantitative information for analysis and is often denormalized. A fact table works with dimension tables and it holds the data to be analyzed and a dimension table stores data about the ways in which the data can be analyzed. Thus, a fact table consists of two types of columns.

What are the different types of facts?

We can divide the Facts in to these three types.Non-Additive.Semi-Additive.Additive.

What are the 2 kinds of data that a fact tables contain?

Thus, the fact table consists of two types of columns. The foreign keys column allows joins with dimension tables, and the measures columns contain the data that is being analyzed.

What are the 3 types of fact tables?

These are:Transaction fact tables.Periodic snapshot tables, and.Accumulating snapshot tables.

What are the different types of dimension tables?

Types of Dimension TableSCD (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. ... Conformed Dimension. ... Junk Dimension. ... Degenerate Dimension. ... Roleplay Dimension.

What is fact table with example?

A fact table is found at the center of a star schema or snowflake schema surrounded by dimension tables. A fact table consists of facts of a particular business process e.g., sales revenue by month by product. Facts are also known as measurements or metrics. A fact table record captures a measurement or a metric.

How many fact tables are there in a star schema?

one fact tableA star schema consists of one fact table, and one or more dimension tables. The fact table contains information about changes. In the most basic kind of fact table, each row represents a transaction.

How many fact tables are there in data warehouse?

There are four types of fact tables: transaction, periodic snapshot, accumulating snapshot and factless fact tables. Every flavor serves a purpose in representing the underlying business which the data warehousing system supports.

What is OLAP and OLTP?

Online analytical processing (OLAP) and online transactional processing (OLTP) are the two primary data processing systems used in data science. OLAP is designed to analyze multiple data dimensions at once, helping teams better understand the complex relationships in their data.

What are the different types of dimension?

Top 9 Types of DimensionConformed Dimensions. A dimension is considered a conformed dimension and is found in many places. ... Role Playing Dimensions. ... Shrunken Dimensions. ... Static Dimensions. ... Degenerate Dimensions. ... Rapidly Changing Dimensions. ... Junk Dimensions. ... Inferred Dimensions.More items...

What is a transactional fact table?

A transactional fact table is a fact table where: Each event is stored in the fact table only once. It has a date column indicating when the event occurred. It has an identifier column which identifies each event. The number of rows is the same as the source table.

What are the different types of fact tables?

There are three types of fact tables: 1. Transaction Fact Table. The transaction fact table is a basic approach to operate the businesses. These fact tables represent an event that occurs at the primary point. A line exists in the fact table for the customer or product when the transaction occurs. Many rows in a fact table connect to a customer ...

What is a fact table?

The fact table stores quantitative information of analysis that is not arranged. The fact table is a primary table in the dimensional model. It also contains measurement, metric and quantitative information.

What are the three types of facts?

There are three types of facts: Summative facts: Summative facts are used with aggregation functions such as sum (), average (), etc. Semi summative facts: There are small numbers of quasi-summative fact aggregation functions that will apply. For example, consider bank account details. We also cannot also apply () for a bank balance which will not ...

Why do fact tables have lines?

Many rows in a fact table connect to a customer or product because they are involved in multiple transactions. Transaction data is often structured quickly in a one-dimensional framework.

What is a fact table?

A fact table stores quantitative information for analysis and is often denormalized. A fact table holds the measures, metrics and other quantifiable information. The different types of fact tables are as explained below:

What is a fact table that does not contain any measure?

A fact table that does not contain any measure is a fact-less fact table. This table will only contain keys from different dimension tables. This is often used to resolve a many-to-many cardinality issue.

Can you use aggregation functions on non-additive facts?

You cannot use numeric aggregation functions such as Sum (), Avg () etc on Non-additive facts. For example of non-additive fact is any kind of ratio or percentage. Non numeric facts can also be a non-additive facts.

What are the different types of facts?

There are three types of facts: 1 Additive: Additive facts are facts that can be summed up through all of the dimensions in the fact table. 2 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. 3 Non-Additive: Non-additive facts are facts that cannot be summed up for any of the dimensions present in the fact table.

What is a semi-additive fact?

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. Non-Additive: Non-additive facts are facts that cannot be summed up for any of the dimensions present in the fact table. Let us use examples to illustrate each of the three types of facts.

What is a fact table?

A Fact table in a Data Warehouse system is nothing but the table that contains all the facts or the business information, which can be subjected to analysis and reporting activities when required. These tables hold fields that represent the direct facts, as well as the foreign fields that are used to connect the fact table with other dimension tables in the Data Warehouse system. A Data Warehouse system can have one or more fact tables, depending on the model type used to design the Data Warehouse.

What is the most important choice to make?

The most important choice to make is to decide the primary key. A surrogate key can also be created to work as a primary key. If a user does not want to use a surrogate key then he may use the composition of foreign keys which points to the combination of dimensions related to the fact. The use of foreign keys gives an idea about ...

Is a periodic snapshot a transaction fact table?

The periodic snapshot tables are mostly dense and can be large as transaction fact tables. Let us see an example of the periodic snapshot of the sales of the same grocery shop as in the transaction fact table. 3. Accumulating Fact Tables.

What are the different types of measures in a fact table?

Measure types. Fact table can store different types of measures such as additive, non-additive, semi-additive. Additive – As its name implied, additive measures are measures which can be added to all dimensions.

How to create a fact table?

Here is an overview of four steps to designing a fact table described by Kimball: 1 Choosing business process to a model – The first step is to decide what business process to model by gathering and understanding business needs and available data 2 Declare the grain – by declaring a grain means describing exactly what a fact table record represents 3 Choose the dimensions – once the grain of the fact table is stated clearly, it is time to determine dimensions for the fact table. 4 Identify facts – identify carefully which facts will appear in the fact table.

What are the different types of fact tables?

Types of fact tables. There are four fundamental measurement events, which characterize all fact tables. Transactional. A transactional table is the most basic and fundamental. The grain associated with a transactional fact table is usually specified as "one row per line in a transaction", e.g., every line on a receipt.

What is a fact table?

In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these are arranged as a fact constellation schema. A fact table typically has two types of columns: those that contain facts and those that are a foreign key to dimension tables. The primary key of a fact table is usually a composite key that is made up of all of its foreign keys. Fact tables contain the content of the data warehouse and store different types of measures like additive, non additive, and semi additive measures.

What is a semi-additive table?

Semi-additive - measures that can be added across some dimensions. A fact table might contain either detail level facts or facts that have been aggregated (fact tables that contain aggregated facts are often instead called summary tables). Special care must be taken when handling ratios and percentage.

What is the primary key of a fact table?

The primary key of a fact table is usually a composite key that is made up of all of its foreign keys. Fact tables contain the content of the data warehouse and store different types of measures like additive, non additive, and semi additive measures. Fact tables provide the (usually) additive values that act as independent variables by which ...

What is an accumulating snapshot table?

An accumulating snapshot table often has multiple date columns, each representing a milestone in the process. Therefore, it's important to have an entry in the associated date dimension that represents an unknown date, as many of the milestone dates are unknown at the time of the creation of the row.

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.

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.

Characteristics of Fact Table

Types of Fact Table

It is categorized under three fundamental measurement events: 1. Transactional 2. Periodic Snapshot 3. Accumulating Snapshots Let us understand this based on the measurement in brief.

See more on educba.com

How Does It Work in A Data Warehouse?

It basically represents the metrics related to an event. The meaning of any fact table must be represented by the table name or the composition of the primary key of the table. The most important choice to make is to decide the primary key. A surrogate key can also be created to work as a primary key. If a user does not want to use a surrogate key then he may use the comp…

See more on educba.com

Advantages of Fact Table

It contains quantitative information for analysis.
It containing performance metrics are usually normalized.
It can contain different measures like additive, semi-additive and non-additive.

See more on educba.com

Conclusion

In this article, we discussed its types, working, and advantages. It is a central part of a star or snowflake schema. It is connected to dimension tables to give the structure of a star or a snowflake.

See more on educba.com

Popular Posts:

1. can you spray lacquer on flowers

2. old electrical wire types

3. height chart for girls india

4. is heimo korth still alive

5. how much is the age newspaper

6. descargar google chrome para pc

7. front door decorations that are not wreaths

8. what home remedy can i use to keep flies off my dog

9. pe ld 04 recycle

10. can you overdose on nexgard

Params
0	`post`
1	`postContent`
2	`author`
3	`updated_at`
4	`bing_rich_snippet_text`
5	`bing_rich_snippet_link`
6	`bing_related_keywords`
7	`google_related_keywords`
8	`bing_news_title`
9	`bing_news_description`
10	`bing_videos`
11	`bing_images`
12	`bing_search_result_title`
13	`bing_search_result_description`
14	`bing_search_result_url`
15	`bing_paa_questions`
16	`bing_paa_answers`
17	`bing_slider_faq_questions`
18	`bing_slider_faq_answers`
19	`bing_pop_faq_questions`
20	`bing_pop_faq_answers`
21	`bing_tab_faq_questions`
22	`bing_tab_faq_answers`
23	`google_faq_questions`
24	`google_faq_answers`
25	`google_rich_snippet`
26	`google_search_result`
27	`indexedArray`
28	`total_images`
29	`total_videos`
30	`settings`
31	`url_current`
32	`menus`
33	`sidebar`

Params

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

Params
0	`__env`
1	`app`
2	`errors`
3	`post`
4	`postContent`
5	`author`
6	`updated_at`
7	`bing_rich_snippet_text`
8	`bing_rich_snippet_link`
9	`bing_related_keywords`
10	`google_related_keywords`
11	`bing_news_title`
12	`bing_news_description`
13	`bing_videos`
14	`bing_images`
15	`bing_search_result_title`
16	`bing_search_result_description`
17	`bing_search_result_url`
18	`bing_paa_questions`
19	`bing_paa_answers`
20	`bing_slider_faq_questions`
21	`bing_slider_faq_answers`
22	`bing_pop_faq_questions`
23	`bing_pop_faq_answers`
24	`bing_tab_faq_questions`
25	`bing_tab_faq_answers`
26	`google_faq_questions`
27	`google_faq_answers`
28	`google_rich_snippet`
29	`google_search_result`
30	`indexedArray`
31	`total_images`
32	`total_videos`
33	`settings`
34	`url_current`
35	`menus`
36	`sidebar`
37	`i`
38	`__currentLoopData`
39	`loop`
40	`item`

Params

__env

app

errors

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

__currentLoopData

loop

item

Params
0	`__env`
1	`app`
2	`errors`
3	`post`
4	`postContent`
5	`author`
6	`updated_at`
7	`bing_rich_snippet_text`
8	`bing_rich_snippet_link`
9	`bing_related_keywords`
10	`google_related_keywords`
11	`bing_news_title`
12	`bing_news_description`
13	`bing_videos`
14	`bing_images`
15	`bing_search_result_title`
16	`bing_search_result_description`
17	`bing_search_result_url`
18	`bing_paa_questions`
19	`bing_paa_answers`
20	`bing_slider_faq_questions`
21	`bing_slider_faq_answers`
22	`bing_pop_faq_questions`
23	`bing_pop_faq_answers`
24	`bing_tab_faq_questions`
25	`bing_tab_faq_answers`
26	`google_faq_questions`
27	`google_faq_answers`
28	`google_rich_snippet`
29	`google_search_result`
30	`indexedArray`
31	`total_images`
32	`total_videos`
33	`settings`
34	`url_current`
35	`menus`
36	`sidebar`
37	`i`
38	`__currentLoopData`
39	`loop`
40	`item`

Params

__env

app

errors

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

__currentLoopData

loop

item

Params
0	`__env`
1	`app`
2	`errors`
3	`post`
4	`postContent`
5	`author`
6	`updated_at`
7	`bing_rich_snippet_text`
8	`bing_rich_snippet_link`
9	`bing_related_keywords`
10	`google_related_keywords`
11	`bing_news_title`
12	`bing_news_description`
13	`bing_videos`
14	`bing_images`
15	`bing_search_result_title`
16	`bing_search_result_description`
17	`bing_search_result_url`
18	`bing_paa_questions`
19	`bing_paa_answers`
20	`bing_slider_faq_questions`
21	`bing_slider_faq_answers`
22	`bing_pop_faq_questions`
23	`bing_pop_faq_answers`
24	`bing_tab_faq_questions`
25	`bing_tab_faq_answers`
26	`google_faq_questions`
27	`google_faq_answers`
28	`google_rich_snippet`
29	`google_search_result`
30	`indexedArray`
31	`total_images`
32	`total_videos`
33	`settings`
34	`url_current`
35	`menus`
36	`sidebar`
37	`i`
38	`__currentLoopData`
39	`loop`
40	`item`

Params

__env

app

errors

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

__currentLoopData

loop

item

Params
0	`__env`
1	`app`
2	`errors`
3	`post`
4	`postContent`
5	`author`
6	`updated_at`
7	`bing_rich_snippet_text`
8	`bing_rich_snippet_link`
9	`bing_related_keywords`
10	`google_related_keywords`
11	`bing_news_title`
12	`bing_news_description`
13	`bing_videos`
14	`bing_images`
15	`bing_search_result_title`
16	`bing_search_result_description`
17	`bing_search_result_url`
18	`bing_paa_questions`
19	`bing_paa_answers`
20	`bing_slider_faq_questions`
21	`bing_slider_faq_answers`
22	`bing_pop_faq_questions`
23	`bing_pop_faq_answers`
24	`bing_tab_faq_questions`
25	`bing_tab_faq_answers`
26	`google_faq_questions`
27	`google_faq_answers`
28	`google_rich_snippet`
29	`google_search_result`
30	`indexedArray`
31	`total_images`
32	`total_videos`
33	`settings`
34	`url_current`
35	`menus`
36	`sidebar`
37	`i`
38	`__currentLoopData`
39	`loop`
40	`item`

Params

__env

app

errors

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

__currentLoopData

loop

item

Params
0	`__env`
1	`app`
2	`errors`
3	`post`
4	`postContent`
5	`author`
6	`updated_at`
7	`bing_rich_snippet_text`
8	`bing_rich_snippet_link`
9	`bing_related_keywords`
10	`google_related_keywords`
11	`bing_news_title`
12	`bing_news_description`
13	`bing_videos`
14	`bing_images`
15	`bing_search_result_title`
16	`bing_search_result_description`
17	`bing_search_result_url`
18	`bing_paa_questions`
19	`bing_paa_answers`
20	`bing_slider_faq_questions`
21	`bing_slider_faq_answers`
22	`bing_pop_faq_questions`
23	`bing_pop_faq_answers`
24	`bing_tab_faq_questions`
25	`bing_tab_faq_answers`
26	`google_faq_questions`
27	`google_faq_answers`
28	`google_rich_snippet`
29	`google_search_result`
30	`indexedArray`
31	`total_images`
32	`total_videos`
33	`settings`
34	`url_current`
35	`menus`
36	`sidebar`
37	`i`
38	`__currentLoopData`
39	`loop`
40	`item`

Params

__env

app

errors

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

__currentLoopData

loop

item

Params
0	`__env`
1	`app`
2	`errors`
3	`post`
4	`postContent`
5	`author`
6	`updated_at`
7	`bing_rich_snippet_text`
8	`bing_rich_snippet_link`
9	`bing_related_keywords`
10	`google_related_keywords`
11	`bing_news_title`
12	`bing_news_description`
13	`bing_videos`
14	`bing_images`
15	`bing_search_result_title`
16	`bing_search_result_description`
17	`bing_search_result_url`
18	`bing_paa_questions`
19	`bing_paa_answers`
20	`bing_slider_faq_questions`
21	`bing_slider_faq_answers`
22	`bing_pop_faq_questions`
23	`bing_pop_faq_answers`
24	`bing_tab_faq_questions`
25	`bing_tab_faq_answers`
26	`google_faq_questions`
27	`google_faq_answers`
28	`google_rich_snippet`
29	`google_search_result`
30	`indexedArray`
31	`total_images`
32	`total_videos`
33	`settings`
34	`url_current`
35	`menus`
36	`sidebar`
37	`i`
38	`__currentLoopData`
39	`loop`
40	`item`

Params

__env

app

errors

post

postContent

author

updated_at

bing_rich_snippet_text

bing_rich_snippet_link

bing_related_keywords

google_related_keywords

bing_news_title

bing_news_description

bing_videos

bing_images

bing_search_result_title

bing_search_result_description

bing_search_result_url

bing_paa_questions

bing_paa_answers

bing_slider_faq_questions

bing_slider_faq_answers

bing_pop_faq_questions

bing_pop_faq_answers

bing_tab_faq_questions

bing_tab_faq_answers

google_faq_questions

google_faq_answers

google_rich_snippet

google_search_result

indexedArray

total_images

total_videos

settings

url_current

menus

sidebar

__currentLoopData

loop

item

Metadata
Bindings	0. 2025-05-02 06:50:22 1. type-of-fact-tables
Backtrace	15. /app/Providers/RouteServiceProvider.php:54 18. /vendor/laravel/framework/src/Illuminate/Routing/Router.php:842 19. Route binding:39 20. /vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:167 21. /vendor/laravel/framework/src/Illuminate/Foundation/Http/Middleware/VerifyCsrfToken.php:78

Metadata

Bindings

0. 2025-05-02 06:50:22
1. type-of-fact-tables

Backtrace

15. /app/Providers/RouteServiceProvider.php:54
18. /vendor/laravel/framework/src/Illuminate/Routing/Router.php:842
19. Route binding:39
20. /vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:167
21. /vendor/laravel/framework/src/Illuminate/Foundation/Http/Middleware/VerifyCsrfToken.php:78

Metadata
Bindings	0. 64904 1. 0
Backtrace	19. middleware::checkdate:30 20. /vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:167 21. /vendor/laravel/jetstream/src/Http/Middleware/ShareInertiaData.php:61 22. /vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:167 23. /vendor/laravel/framework/src/Illuminate/Routing/Middleware/SubstituteBindings.php:50

Metadata

Bindings

0. 64904
1. 0

Backtrace

19. middleware::checkdate:30
20. /vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:167
21. /vendor/laravel/jetstream/src/Http/Middleware/ShareInertiaData.php:61
22. /vendor/laravel/framework/src/Illuminate/Pipeline/Pipeline.php:167
23. /vendor/laravel/framework/src/Illuminate/Routing/Middleware/SubstituteBindings.php:50

Metadata
Bindings	0. header
Backtrace	15. /vendor/outl1ne/nova-menu-builder/src/helpers.php:32 17. /vendor/laravel/framework/src/Illuminate/Routing/Controller.php:54 18. /vendor/laravel/framework/src/Illuminate/Routing/ControllerDispatcher.php:45 19. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:261 20. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:205

Metadata

Bindings

0. header

Backtrace

15. /vendor/outl1ne/nova-menu-builder/src/helpers.php:32
17. /vendor/laravel/framework/src/Illuminate/Routing/Controller.php:54
18. /vendor/laravel/framework/src/Illuminate/Routing/ControllerDispatcher.php:45
19. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:261
20. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:205

Metadata
Bindings	0. 1
Backtrace	19. /vendor/outl1ne/nova-menu-builder/src/Models/Menu.php:35 20. /vendor/outl1ne/nova-menu-builder/src/helpers.php:33 22. /vendor/laravel/framework/src/Illuminate/Routing/Controller.php:54 23. /vendor/laravel/framework/src/Illuminate/Routing/ControllerDispatcher.php:45 24. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:261

Metadata

Bindings

0. 1

Backtrace

19. /vendor/outl1ne/nova-menu-builder/src/Models/Menu.php:35
20. /vendor/outl1ne/nova-menu-builder/src/helpers.php:33
22. /vendor/laravel/framework/src/Illuminate/Routing/Controller.php:54
23. /vendor/laravel/framework/src/Illuminate/Routing/ControllerDispatcher.php:45
24. /vendor/laravel/framework/src/Illuminate/Routing/Route.php:261

Metadata
Backtrace	24. /vendor/outl1ne/nova-menu-builder/src/Models/Menu.php:35 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

Metadata

Backtrace

24. /vendor/outl1ne/nova-menu-builder/src/Models/Menu.php:35
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

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

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

Metadata
Bindings	0. 24646
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

Metadata

Bindings

0. 24646

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

0 of 0

array:24 [▼"cf-ipcountry" => array:1 [▶ 0 => "US" ] "cf-connecting-ip" => array:1 [▶ 0 => "18.191.200.83" ] "cdn-loop" => array:1 [▶ 0 => "cloudflare; loops=1" ] "cf-visitor" => array:1 [▶ 0 => "{"scheme":"https"}" ] "sec-fetch-site" => array:1 [▶ 0 => "none" ] "accept" => array:1 [▶ 0 => "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7" ] "user-agent" => array:1 [▶ 0 => "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)" ] "upgrade-insecure-requests" => array:1 [▶ 0 => "1" ] "sec-ch-ua-platform" => array:1 [▶ 0 => ""Windows"" ] "sec-ch-ua-mobile" => array:1 [▶ 0 => "?0" ] "sec-ch-ua" => array:1 [▶ 0 => ""Chromium";v="130", "HeadlessChrome";v="130", "Not?A_Brand";v="99"" ] "cache-control" => array:1 [▶ 0 => "no-cache" ] "pragma" => array:1 [▶ 0 => "no-cache" ] "sec-fetch-dest" => array:1 [▶ 0 => "document" ] "cf-ray" => array:1 [▶ 0 => "9393b21c49d76216-ORD" ] "accept-encoding" => array:1 [▶ 0 => "gzip, br" ] "priority" => array:1 [▶ 0 => "u=0, i" ] "sec-fetch-user" => array:1 [▶ 0 => "?1" ] "sec-fetch-mode" => array:1 [▶ 0 => "navigate" ] "connection" => array:1 [▶ 0 => "close" ] "x-forwarded-proto" => array:1 [▶ 0 => "https" ] "x-forwarded-for" => array:1 [▶ 0 => "18.191.200.83, 172.69.7.242" ] "x-server-addr" => array:1 [▶ 0 => "154.12.239.204" ] "host" => array:1 [▶ 0 => "receivinghelpdesk.com" ]]

0 of 0

array:55 [▼"USER" => "runcloud" "HOME" => "/home/runcloud" "SCRIPT_NAME" => "/ask/index.php" "REQUEST_URI" => "/ask/type-of-fact-tables" "QUERY_STRING" => "" "REQUEST_METHOD" => "GET" "SERVER_PROTOCOL" => "HTTP/1.0" "GATEWAY_INTERFACE" => "CGI/1.1" "REDIRECT_URL" => "/ask/type-of-fact-tables" "REMOTE_PORT" => "34120" "SCRIPT_FILENAME" => "/home/runcloud/webapps/ReceivingHelpDesk/ask/index.php" "SERVER_ADMIN" => "you@example.com" "CONTEXT_DOCUMENT_ROOT" => "/home/runcloud/webapps/ReceivingHelpDesk/" "CONTEXT_PREFIX" => "" "REQUEST_SCHEME" => "http" "DOCUMENT_ROOT" => "/home/runcloud/webapps/ReceivingHelpDesk/" "REMOTE_ADDR" => "172.69.7.242" "SERVER_PORT" => "80" "SERVER_ADDR" => "127.0.0.1" "SERVER_NAME" => "receivinghelpdesk.com" "SERVER_SOFTWARE" => "Apache/2.4.63 (Unix) OpenSSL/1.1.1f" "SERVER_SIGNATURE" => "" "LD_LIBRARY_PATH" => "/RunCloud/Packages/apache2-rc/lib" "PATH" => "/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin" "HTTP_CF_IPCOUNTRY" => "US" "HTTP_CF_CONNECTING_IP" => "18.191.200.83" "HTTP_CDN_LOOP" => "cloudflare; loops=1" "HTTP_CF_VISITOR" => "{"scheme":"https"}" "HTTP_SEC_FETCH_SITE" => "none" "HTTP_ACCEPT" => "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7" "HTTP_USER_AGENT" => "Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)" "HTTP_UPGRADE_INSECURE_REQUESTS" => "1" "HTTP_SEC_CH_UA_PLATFORM" => ""Windows"" "HTTP_SEC_CH_UA_MOBILE" => "?0" "HTTP_SEC_CH_UA" => ""Chromium";v="130", "HeadlessChrome";v="130", "Not?A_Brand";v="99"" "HTTP_CACHE_CONTROL" => "no-cache" "HTTP_PRAGMA" => "no-cache" "HTTP_SEC_FETCH_DEST" => "document" "HTTP_CF_RAY" => "9393b21c49d76216-ORD" "HTTP_ACCEPT_ENCODING" => "gzip, br" "HTTP_PRIORITY" => "u=0, i" "HTTP_SEC_FETCH_USER" => "?1" "HTTP_SEC_FETCH_MODE" => "navigate" "HTTP_CONNECTION" => "close" "HTTP_X_FORWARDED_PROTO" => "https" "HTTP_X_FORWARDED_FOR" => "18.191.200.83, 172.69.7.242" "HTTP_X_SERVER_ADDR" => "154.12.239.204" "HTTP_HOST" => "receivinghelpdesk.com" "HTTPS" => "on" "REDIRECT_STATUS" => "200" "REDIRECT_HTTPS" => "on" "FCGI_ROLE" => "RESPONDER" "PHP_SELF" => "/ask/index.php" "REQUEST_TIME_FLOAT" => 1746148822.5946 "REQUEST_TIME" => 1746148822]

0 of 0

array:7 [▼"content-type" => array:1 [▶ 0 => "text/html; charset=UTF-8" ] "cache-control" => array:1 [▶ 0 => "private, must-revalidate" ] "date" => array:1 [▶ 0 => "Fri, 02 May 2025 01:20:22 GMT" ] "pragma" => array:1 [▶ 0 => "no-cache" ] "expires" => array:1 [▶ 0 => -1 ] "set-cookie" => array:2 [▶ 0 => "XSRF-TOKEN=eyJpdiI6IjNKcEFHdW5PUzYwNE0xRGF6Y0t0Umc9PSIsInZhbHVlIjoiNU1JSnlHTVFndi9SdmZEVUM0R2xobDdWbmVtYXc4b1pjZStaZHI1Ri9UVDJGd05RZTNVV1IvazdwNTZuVmtxbnVxN0w3VmtONmc3clB1dkRZMjQyTHMyYUtSUGpNVWZqR25Gb2o0RzFuNUQ3QXZKOURBM1ROSFpUcWpDODhOaysiLCJtYWMiOiJkNzBkZjRkY2VkMGRlYzczZDVlNTIyNGEzYWU2ODQ4OWRkYmNlOTNkZjc1MzBlOTcwYWE0MzMxYjg1YzExOWU3IiwidGFnIjoiIn0%3D; expires=Fri, 02-May-2025 03:20:25 GMT; Max-Age=7200; path=/; samesite=lax ◀XSRF-TOKEN=eyJpdiI6IjNKcEFHdW5PUzYwNE0xRGF6Y0t0Umc9PSIsInZhbHVlIjoiNU1JSnlHTVFndi9SdmZEVUM0R2xobDdWbmVtYXc4b1pjZStaZHI1Ri9UVDJGd05RZTNVV1IvazdwNTZuVmtxbnVxN0w3V ▶" 1 => "askhelpdesk_session=eyJpdiI6InNxM0hiT0Q2dzhSYXhKbk15VFFDdkE9PSIsInZhbHVlIjoia1UxWWdsQVFYNG8xeUlRa2pHVmtQQ3piQ3IwNFlDankyY0psNFNWdmlmQzRvbU43eXM4ZloxT3RsZjBYcEplNGNtODJiWXB0c1BYZXlTWTRJV29vSXF3MWdka2I1QVVvUS9qNkxnalpTS3RjaUJ4RS9lMkp2NS92MUhTRThSRWkiLCJtYWMiOiIyMzBjM2MwMjg5YjI2YTI0NzYzYTk4MzBiZWY2NmY1YjdlZGZlMDkzZDYwMDk2MTNlMDAxYTdiMTViZDcxY2RjIiwidGFnIjoiIn0%3D; expires=Fri, 02-May-2025 03:20:25 GMT; Max-Age=7200; path=/; httponly; samesite=lax ◀askhelpdesk_session=eyJpdiI6InNxM0hiT0Q2dzhSYXhKbk15VFFDdkE9PSIsInZhbHVlIjoia1UxWWdsQVFYNG8xeUlRa2pHVmtQQ3piQ3IwNFlDankyY0psNFNWdmlmQzRvbU43eXM4ZloxT3RsZjBYcEpl ▶" ] "Set-Cookie" => array:2 [▶ 0 => "XSRF-TOKEN=eyJpdiI6IjNKcEFHdW5PUzYwNE0xRGF6Y0t0Umc9PSIsInZhbHVlIjoiNU1JSnlHTVFndi9SdmZEVUM0R2xobDdWbmVtYXc4b1pjZStaZHI1Ri9UVDJGd05RZTNVV1IvazdwNTZuVmtxbnVxN0w3VmtONmc3clB1dkRZMjQyTHMyYUtSUGpNVWZqR25Gb2o0RzFuNUQ3QXZKOURBM1ROSFpUcWpDODhOaysiLCJtYWMiOiJkNzBkZjRkY2VkMGRlYzczZDVlNTIyNGEzYWU2ODQ4OWRkYmNlOTNkZjc1MzBlOTcwYWE0MzMxYjg1YzExOWU3IiwidGFnIjoiIn0%3D; expires=Fri, 02-May-2025 03:20:25 GMT; path=/ ◀XSRF-TOKEN=eyJpdiI6IjNKcEFHdW5PUzYwNE0xRGF6Y0t0Umc9PSIsInZhbHVlIjoiNU1JSnlHTVFndi9SdmZEVUM0R2xobDdWbmVtYXc4b1pjZStaZHI1Ri9UVDJGd05RZTNVV1IvazdwNTZuVmtxbnVxN0w3V ▶" 1 => "askhelpdesk_session=eyJpdiI6InNxM0hiT0Q2dzhSYXhKbk15VFFDdkE9PSIsInZhbHVlIjoia1UxWWdsQVFYNG8xeUlRa2pHVmtQQ3piQ3IwNFlDankyY0psNFNWdmlmQzRvbU43eXM4ZloxT3RsZjBYcEplNGNtODJiWXB0c1BYZXlTWTRJV29vSXF3MWdka2I1QVVvUS9qNkxnalpTS3RjaUJ4RS9lMkp2NS92MUhTRThSRWkiLCJtYWMiOiIyMzBjM2MwMjg5YjI2YTI0NzYzYTk4MzBiZWY2NmY1YjdlZGZlMDkzZDYwMDk2MTNlMDAxYTdiMTViZDcxY2RjIiwidGFnIjoiIn0%3D; expires=Fri, 02-May-2025 03:20:25 GMT; path=/; httponly ◀askhelpdesk_session=eyJpdiI6InNxM0hiT0Q2dzhSYXhKbk15VFFDdkE9PSIsInZhbHVlIjoia1UxWWdsQVFYNG8xeUlRa2pHVmtQQ3piQ3IwNFlDankyY0psNFNWdmlmQzRvbU43eXM4ZloxT3RsZjBYcEpl ▶" ]]

0 of 0

array:4 [▼"_token" => "T2QtgXCclKqdZwPha3529nF8N4dJSFxc9u8kmKJc" "_previous" => array:1 [▶ "url" => "https://receivinghelpdesk.com/ask/type-of-fact-tables" ] "_flash" => array:2 [▶ "old" => [] "new" => [] ] "PHPDEBUGBAR_STACK_DATA" => []]

1 x Application (98.97%)	3.14s
1 x Booting (1.01%)	32.05ms

What are the different types of tables?

What is an example of a fact table?

How to identify fact and dimension tables?

What are the different types of tables in statistics?

How many types of fact tables are there?

What is fact table and its types?

What are the different types of facts?

What are the 2 kinds of data that a fact tables contain?

What are the 3 types of fact tables?

What are the different types of dimension tables?

What is fact table with example?

How many fact tables are there in a star schema?

How many fact tables are there in data warehouse?

What is OLAP and OLTP?

What are the different types of dimension?

What is a transactional fact table?

What are the different types of fact tables?

What is a fact table?

What are the three types of facts?

Why do fact tables have lines?

What is a fact table?

What is a fact table that does not contain any measure?

Can you use aggregation functions on non-additive facts?

What are the different types of facts?

What is a semi-additive fact?

What is a fact table?

What is the most important choice to make?

Is a periodic snapshot a transaction fact table?

What are the different types of measures in a fact table?

How to create a fact table?

What are the different types of fact tables?

What is a fact table?

What is a semi-additive table?

What is the primary key of a fact table?

What is an accumulating snapshot table?

What is a fact table?

Why do records stay in fact tables?

Is a dimension table a fact table?

Characteristics of Fact Table

Types of Fact Table

How Does It Work in A Data Warehouse?

Advantages of Fact Table

Conclusion

Recommended Article

Popular Posts: