What is factless fact in MicroStrategy?

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 the purpose of factless fact table?

Factless fact tables are used for tracking a process or collecting stats. They are called so because, the fact table does not have aggregatable numeric values or information. There are two types of factless fact tables: those that describe events, and those that describe conditions.

What is fact and Factless table?

Factless facts are those fact tables that have no measures associated with the transaction. Factless facts are a simple collection of dimensional keys which define the transactions or describing condition for the time period of the fact. It is a fact, plain and simple.

What is dimension table in MicroStrategy?

For all number/id/key attributes within MicroStrategy, a dimension table has to be designated as a “lookup” table. This table is used as source for prompts and for sourcing additional information about an attribute such as name/address for a Customer attribute whenever Customer attribute is used in a report.

What is the difference between fact 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. While in dimension table, There is less records than fact table.

What should be in 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.

Can a table be both fact and dimension?

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. Therefore a dimension table can also be a fact table for a separate star schema.

Is MicroStrategy a data warehouse?

Along with integrating with relational databases, which are a common type of data warehouse, MicroStrategy can also integrate with a number of alternative data sources. A data source is any file, system, or storage location which stores data that is to be used in MicroStrategy for query, reporting, and analysis.

Why do we apply snowflake schema?

The purpose of a snowflake schema is to normalize the denormalized data in a star schema. This solves the write command slow-downs and other problems typically associated with “star schemas.” The snowflake schema is a “multi-dimensional” structure.

Where do we use a factless fact table?

The first type of factless fact table is a table that records an event. Many event-tracking tables in dimensional data warehouses turn out to be factless.Sometimes there seem to be no facts associated with an important business process. Events or activities occur that you wish to track, but you find no measurements.

Is the Consolidated fact table a substitute for a single process fact table?

In addition to single process fact tables, consolidated fact tables are sometimes created that combine metrics from multiple processes into one fact table at a common level of detail. Again, consolidated fact tables are a complement to the detailed single-process fact tables, not a substitute for them.

When to use fact table in dimensional modeling?

Occasionally many-to-one relationships are resolved in the fact table, such as the case when the detailed dimension table has millions of rows and its roll-up attributes are frequently changing. However, using the fact table to resolve M:1 relationships should be done sparingly.

How is a fact table different from a numeric table?

We know that fact table is a collection of many facts and measures having multiple keys joined with one or more dimesion tables.Facts contain both numeric and additive fields.But factless fact table are different from all these.