README Typo Fix

Happy Monday!

This release includes the following non-breaking changes:

• Typo fix within the README to reference the correct union_schemas variable. PR #18

Union Source Data Functionality (Breaking Change)

🚨 BREAKING CHANGE 🚨 Unioning Shopify source data has been a frequent request from package users. This release incorporates just that functionality!

• The ability to union Shopify source data using this package. This is done by utilizing the union_schema and union_databases variables. A user can add the schemas they would like to union or the databases they would like to union (must be one or the other) together and produce unioned results downstream.

Thanks so much to @DylanBaker for his stellar work on getting this functionality to work in this package! 🎉

Features Updates + custom schema (breaking change 🚨)

This release incorporates the following new features:

• Databricks and Postgres compatibility
• Custom schema integration (breaking change 🚨)
• Addition of the shopify__transactions table which includes all transactions within shopify and an exchange rate calculation applied
• Overhauled shopify__orders, shopify__order_lines, and shopify__customer_cohorts tables to include refund calculations towards the order totals.
• Removed duplicate customer total orders and total amount fields from the shopify__customers final model (breaking change 🚨)

Package Upgrades + dbt Required version

🚨 This release contains breaking changes. Updates include:

• Requiring a specific version of dbt (0.18.0 - 0.20.0), to prevent future issues.
• Some column names have been updated to either align with our naming conventions or be more verbose to provide clarity.

model	old name	new name
stg_shopify__order	buyer_accepts_marketing	has_buyer_accepted_marketing
	taxes_included	has_taxes_included
	test	is_test_order
stg_shopify__customer	accepts_marketing	has_accepted_marketing
	state	account_state
stg_shopify__order_line	gift_card	is_gift_card
	requires_shipping	is_requiring_shipping

Initial Release

This is the initial release of this package.

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.

Currently the package supports Redshift, BigQuery and Snowflake.