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What is a Factless Fact Table in Data Warehousing?

A factless fact table in data warehousing logs occurrences that lack corresponding numerical metrics. Its main purpose is to document relationships among dimensions, showing either the existence or non-existence of an event.

NuSummit’s data and analytics offerings enable companies to convert unprocessed data into valuable insights, employing a range of data warehousing methods. A factless fact table is an essential element of data warehousing that is utilized to monitor events or connections between dimensions when there are no quantifiable facts, like documenting participation at an event or the relationships between products and promotions.

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