Engagement Task Completion Date Cast Fix

This release includes the following non-breaking changes:

• The completion_date field cast has been updated from an integer to a string in order to be in line with connector level datatype change. #39

Service Hub, Deal Stage, and Variable Updates

This release includes the following non breaking changes:

• Addition of the deal_stage and hubspot_deal_company enabled/disable variable. PR #36
• Addition of the HubSpot Service Hub ticket models and corresponding variables. PR #30
• Incorporates Postgres compatibility. PR #36
• More robust passthrough variable declaration for the company, contact, deal, and ticket models. Refer to the README for more details. PR #30.
• Addition of HubSpot defined default property fields for the company, contact, deal, and ticket models. PR #37

Custom Schema and Issue Maintenance

🚨 This update introduces a breaking change in the form of custom schemas which output staging models into a respective <target.schema>+_stg_hubspot schema. Refer to the ReadMe for more details. 🚨

The release also:

• Bug fixes within the contact and deal staging models
• Added contact model enablement variables
• Address the following Issues and PR's: #5, #9, #25, #26
• Minor documentation updates

Package Upgrades

Updates package to be compatible with dbt 0.18.0. This is a breaking change!
🚨 dbt v0.18.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.

Additionally, this release:

• Updates dbt_utils dependency so to align with other Fivetran packages
• Coalesces the _fivetran_deleted field to only exclude true values
• Creates dependency on Fivetran's utils package

Initial Release

This is the initial release of this package.

This package is designed enrich your Fivetran data by doing the following:

• Add descriptions to tables and columns that are synced using Fivetran
• Add freshness tests to source data
• Add column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
• Model staging tables, which will be used in our transform package

Currently the package supports Redshift, BigQuery and Snowflake.