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You're reading from  Data Modeling with Snowflake

Product typeBook
Published inMay 2023
PublisherPackt
ISBN-139781837634453
Edition1st Edition
Concepts
Data Engineering
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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

In a DWH, fact tables present an additional challenge on top of merely capturing the latest values – they must also be able to capture and reconcile historical changes in a way that allows users to flexibly and cost-effectively query them to resolve business questions, because when it comes to operational analytics, analyzing changes, variations, and what didn’t happen can be just as valuable as the current state of truth.

Various types of fact tables exist to help an organization meet these demanding analytical needs, such as transactional, snapshot, and accumulating snapshot fact tables, among others. These fact tables must differentiate between the various kinds of measures they store (e.g., additive, semi-additive, and non-additive) because each is treated differently when updating or recording changes.

To help data teams construct and maintain these tables in Snowflake, this chapter dissected some of the toughest challenges in maintaining fact tables...

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Data Modeling with Snowflake
Published in: May 2023Publisher: PacktISBN-13: 9781837634453
© 2023 Packt Publishing Limited All Rights Reserved

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

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