Common examples of factless fact tables include:
- Identifying product promotion events (to determine promoted products that didn’t sell)
- Tracking student attendance or registration events
- Tracking insurance-related accident events
- Identifying building, facility, and equipment schedules for a hospital or university
Full Answer
Which is an example of a fact-less fact?
Factless fact table for event or activity example. For example, you may want to track employee leaves. How often and why your employee leaves are very important for you to plan your daily activities and resources. At the center of the diagram below is …
What are the two types of factless tables?
May 26, 2021 · It is used to support negative analysis reports. For example, to create a report that a store did not sell a product for a certain period of time, you should have a fact table to capture all possible combinations. Then you can find out what is missing. Common examples of factless fact table: Ex-Visitors to the office. List of people for the web click.
What is a fact-less fact in data warehouse?
A factless fact table is a fact table that does not have any measures. It is essentially an intersection of dimensions. On the surface, a factless fact table does not make sense, since a fact table is, after all, about facts. However, there are situations where having this kind of relationship makes sense in data warehousing. For example, think about a record of student attendance in …
What is an event-based factless fact table?
Factless Fact Tables Although most measurement events capture numerical results, it is possible that the event merely records a set of dimensional entities coming together at a moment in time. For example, an event of a student attending a class on a given day may not have a recorded numeric fact, but a fact row with foreign keys for calendar day, student, teacher, location, and …
What is factless fact table give example?
A factless fact table is a fact table that does not have any measures, i.e. any numeric fields that can be aggregated. For example, if you are modelling product sales, you can have a Sales fact table that will contain the dimension keys and, for example, the "amount" value/measure, to record the amount sold.
What is true about factless fact table?
A factless fact table is a fact table that does not have any measures. It is essentially an intersection of dimensions (it contains nothing but dimensional keys). There are two types of factless tables: One is for capturing an event, and one is for describing conditions.
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.
What is a junk dimension explain with example?
A Junk Dimension is a dimension table consisting of attributes that do not belong in the fact table or in any of the existing dimension tables. The nature of these attributes is usually text or various flags, e.g. non-generic comments or just simple yes/no or true/false indicators.
What is the meaning of Factless?
Lacking facts; inaccurate or fictionalfactless (comparative more factless, superlative most factless) Lacking facts; inaccurate or fictional.
How many attributes does factless fact table have?
There are two kinds of factless fact tables: Factless fact table describes events or activities. Factless fact table describes a condition, eligibility, or coverage.
What are the 3 types of fact tables?
These are:Transaction fact tables.Periodic snapshot tables, and.Accumulating snapshot tables.
What are the three types of fact tables?
There are three types of fact tables and entities: Transaction. A transaction fact table or transaction fact entity records one row per transaction. Periodic.
How do you create a fact table?
Steps in designing Fact Table:Identify a business process for analysis(like sales).Identify measures or facts (sales dollar).Identify dimensions for facts(product dimension, location dimension, time dimension, organization dimension).List the columns that describe each dimension.More items...•
Why do we use junk dimension?
A junk dimension combines several low-cardinality flags and attributes into a single dimension table rather than modeling them as separate dimensions. There are good reasons to create this combined dimension, including reducing the size of the fact table and making the dimensional model easier to work with.
What is degenerate dimension table with example?
For example, the Oracle FAQ defines a degenerate dimension as a "data dimension that is stored in the fact table rather than a separate dimension table. This eliminates the need to join to a dimension table. You can use the data in the degenerate dimension to limit or 'slice and dice' your fact table measures."
What is use of junk dimension in data warehouse?
The junk dimension is a structure that provides a convenient place to store the junk attributes. It is a collection of random transnational codes, flags and/or text attributes that are unrelated to any particular dimension.