dbt (data-build-tool) - Use dbt Seeds to work with static CSV data

All my FREE resources: https://www.skool.com/moderndata/about Consulting Services: https://go.kahandatasolutions.com ----- Seeds are CSV files in your dbt project (typically in your data directory), that dbt can load into your data warehouse using the dbt seed command. Seeds can be referenced in downstream models the same way as referencing models — by using the ref function. Because these CSV files are located in your dbt repository, they are version controlled and code reviewable. Seeds are best suited to static data which changes infrequently. Timestamps: 0:00 - Intro 0:21 - How dbt Identifies Seeds 1:08 - Background on Demo Example 1:27 - Add a Seeds to the Project 1:53 - Deploy With dbt seed Command 2:37 - Reference Seed Model 4:00 - Review Compiled Code Title & Tags: How to Use DBT Seeds to Hold Static CSV Data | Data Build Tool (dbt) Tutorial #kahandatasolutions #dbt #dataengineering #kahandatasolutions