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You're reading from  Data Modeling with Snowflake

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837634453
Edition1st Edition
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Author (1)
Serge Gershkovich
Serge Gershkovich
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Serge Gershkovich

Serge Gershkovich is a seasoned data architect with decades of experience designing and maintaining enterprise-scale data warehouse platforms and reporting solutions. He is a leading subject matter expert, speaker, content creator, and Snowflake Data Superhero. Serge earned a bachelor of science degree in information systems from the State University of New York (SUNY) Stony Brook. Throughout his career, Serge has worked in model-driven development from SAP BW/HANA to dashboard design to cost-effective cloud analytics with Snowflake. He currently serves as product success lead at SqlDBM, an online database modeling tool.
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Fact table measures

Numerical measures associated with a business transaction are called facts, and they fall into three basic categories:

  • Additive facts – These are measures that can be summed across any dimension. Additive facts are the most common type of fact in a DWH, allowing for a wide variety of analytical calculations and insights. These values can be aggregated across any combination of dimensions, such as time, geography, or product. Examples of additive facts include sales revenue, profit, and quantity sold.
  • Semi-additive facts – These are measures that can be summed across some dimensions but not all. These measures are usually numeric values that can only be aggregated across certain dimensions, such as customers or products. Examples of semi-additive facts include account balance and inventory levels, respectively. Semi-additive facts require special handling in data analysis to ensure that the aggregation is done correctly and does not spill...
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Data Modeling with Snowflake
Published in: May 2023Publisher: PacktISBN-13: 9781837634453

Author (1)

author image
Serge Gershkovich

Serge Gershkovich is a seasoned data architect with decades of experience designing and maintaining enterprise-scale data warehouse platforms and reporting solutions. He is a leading subject matter expert, speaker, content creator, and Snowflake Data Superhero. Serge earned a bachelor of science degree in information systems from the State University of New York (SUNY) Stony Brook. Throughout his career, Serge has worked in model-driven development from SAP BW/HANA to dashboard design to cost-effective cloud analytics with Snowflake. He currently serves as product success lead at SqlDBM, an online database modeling tool.
Read more about Serge Gershkovich