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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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Summary

Through various examples in this chapter, we saw how the process of normalization organizes a database in a way that reduces redundancy and dependency within its tables.

Dependency and redundancy in database tables increase the likelihood of data anomalies, which come in many forms. Update anomalies occur due to redundancy, which makes it possible to update some, but not all, of the associated records. Physical (as opposed to logical) dependencies are the root cause of insertion and deletion anomalies. When too many details of varying granularity are bunched into a single table, inserting or deleting records that do not match all the criteria becomes difficult. The domain anomaly is the hardest to spot because it requires functional knowledge of the data in question.

Database normalization can be applied through escalating stages of formal rules called normal forms, ranging from 1NF to 6NF to avoid such anomalies. The most commonly used normal forms are the first through...

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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