This package models Shopify data from Fivetran's connector. It uses data in the format described by this ERD.
The main focus of the package is to transform the core object tables into analytics-ready models, including a cohort model to understand how your customers are behaving over time.
This package contains transformation models, designed to work simultaneously with our Shopify source package. A dependency on the source package is declared in this package's packages.yml file, so it will automatically download when you run dbt deps. The primary outputs of this package are described below.
| model | description |
|---|---|
| shopify__customer_cohorts | Each record represents the monthly performance of a customer, including fields for the month of their 'cohort'. |
| shopify__customers | Each record represents a customer, with additional dimensions like lifetime value and number of orders. |
| shopify__orders | Each record represents an order, with additional dimensions like whether it is a new or repeat purchase. |
| shopify__order_lines | Each record represents an order line item, with additional dimensions like how many items were refunded. |
| shopify__products | Each record represents an product, with additional dimensions like most recent order date and order volume. |
Check dbt Hub for the latest installation instructions, or read the dbt docs for more information on installing packages.
By default, this package looks for your Shopify data in the shopify schema of your target database. If this is not where your Shopify data is, add the following configuration to your dbt_project.yml file:
# dbt_project.yml
...
config-version: 2
vars:
shopify_database: your_database_name
shopify_schema: your_schema_nameFor additional configurations for the source models, visit the Shopify source package.
Additional contributions to this package are very welcome! Please create issues
or open PRs against master. Check out
this post
on the best workflow for contributing to a package.
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