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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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Entities as tables

Before delving into database details, let’s recall the concept of an entity at the business level: a person, object, place, event, or concept relevant to the business for which an organization wants to maintain information. In other words, an entity is a business-relevant concept with common properties. A rule of thumb for identifying and naming entities is that they conform to singular English nouns, for example, customer, item, and reservation.

The obvious candidate for storing and maintaining information in Snowflake is a table. Through SQL, tables give users a standard and familiar way to access and manipulate entity details. As we saw in the last chapter, Snowflake tables come in several flavors, offering different backup and recovery options. Besides selecting a table type that provides adequate Time Travel and Fail-safe, Snowflake tables live up to the company’s claim of near-zero maintenance—there are no indexes, tablespaces, or partitions...

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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