What is factless fact table in SSAS?

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).

What is factless fact table with 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.

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 is junk dimension 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.

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.

Is Factless a real word?

Factless definition Lacking facts; inaccurate or fictional.

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 the 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.