Reader small image

You're reading from  Data Modeling with Snowflake

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

Right arrow

An overview of database normalization

Database normalization is the process of organizing a database in a way that reduces redundancy and dependency within its tables. This is achieved by breaking a large table into smaller ones and linking them through foreign key relationships. Doing so leads to fewer data inconsistencies and improved data integrity. A normalized database results in a modular design that is easy to scale and modify.

Normalization occurs through escalating stages of formal rules called normal forms, ranging from the first normal form (1NF) to the sixth normal form (6NF)—although the first through third are most commonly used and are sufficient for most use cases.

Each normal form builds on the requirements of its predecessor and adds additional criteria that every database table must satisfy. A normal form is considered satisfied when every table in the database meets the criteria laid out for it (and, by extension, its predecessors).

Neglecting normalization...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
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