Admin Table of Contents
What are dimension and fact tables?
Fact Table vs Dimension Table Comparison Table
| Characteristics | Fact Table | Dimension Table |
|---|---|---|
| Creation Time | A fact table is created after dimension tables are created. | The dimension table needs to be created first. |
| Schema Structure | There is less number of fact tables in a schema. | There is a number of dimension tables in a schema. |
What is drill across?
Drill-Across Drilling-across is the process by which you can drill from one application to another from your data visualizations. From the visualization below, a user can automatically drill across into a CRM system using the correct customer number.
What is difference between fact table and dimension table?
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.
How do you define 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.
How do you join a fact table and dimension table?
Each dimensional table needs to include a primary key that corresponds to a foreign key in the fact table. The fact table should have a primary (composite) key that is a combination of the foreign keys.
Is fact table normalized?
Dimensional models combine normalized and denormalized table structures. The dimension tables of descriptive information are highly denormalized with detailed and hierarchical roll-up attributes in the same table. Meanwhile, the fact tables with performance metrics are typically normalized.
What is the difference between drill through and drill across?
this feature is known as Drill through. Drill across means you are drilling across the reports to get the data. this means when you are jumping or navigating from one report to other ,then you are drilling across the reports.
What is the difference between drill down and drill through reports?
Drill Down is the way to have summary values view and if we would like to see the detail , we can expand that part to see the details. You can use + and – signs to change to summarize view or detail view of a report. Drill through Report: Let’s think about a real time scenario, Where we have Region Sale Summary report.
Are fact tables normalized or denormalized?
Fact tables are completely normalized To get the textual information about a transaction (each record in the fact table), you have to join the fact table with the dimension table. Some say that fact table is in denormalized structure as it might contain the duplicate foreign keys.
How do you create a fact table and dimension table?
Use the wizard to create the corresponding fact and dimension tables.
- In Data Modeler, lock the model for editing.
- In the Database menu in the left pane, right-click the source table that contains the fact and dimensional data that you want to model, select Add to Model, and then select Add as Fact and Dimension Tables.
What is facts and dimension with example?
Employees and customers are examples of dimensions, they do. Products are sold, they are also dimensions as they have something done to them. Facts, are the verb. An entry in a fact table marks a discrete event that happens to something from the dimension table.
What is the difference between facts and dimensions?
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.
How can I drill across two fact tables?
In this case, you can drill across two fact tables, one at the brand level with a brand dimension (such as a forecast), and the other at a detailed product level with a product dimension (such as sales transactions). Assume that the product dimension is a nice flat table containing the low cardinality brand attribute.
How do you Use conformed dimensions in a drill-across query?
All fact tables in a drill-across query must use conformed dimensions. The actual drill-across query consists of a multi-pass set of separate requests to the target fact tables followed by a simple sort/merge on the identical row headers returned from each request.
What is a 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.
What is drill-across observation in SQL?
Drill-across observation: The new fact table called for in the drill-across operation must share certain dimensions with the fact table in the original query. Certain dimensions will be named in the original query because they contribute row headers. Remember that these row headers are the basis of the grouping that creates the answer-set row.