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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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Maintaining fact tables using Snowflake features

In this section, we will practice creating and maintaining the fact table techniques discussed previously using available Snowflake features. Like in previous chapters, we will load data from the snowflake_sample_data.tpch_sf10 schema, which will serve as the sample set. We will then simulate source system updates by randomly loading records from this sample.

The first two exercises will use data from the LINEITEM table. To continue, create a schema to house the exercises from this chapter and instantiate the source system table, as well as the DWH landing area.

Open the first file in this chapter’s repository, ch_14.1_reverse_balance_fact.sql, and run the first three steps:

CREATE OR REPLACE SCHEMA ch14_facts;
CREATE OR REPLACE TABLE source_system_lineitem ...;
CREATE OR REPLACE TABLE src_lineitem ...;

These examples require lineitem orders to be loaded and processed in their entirety (containing all constituent...

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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