This package models Marketo data from Fivetran's connector. It uses data in the format described by this ERD.
This package enriches your Fivetran data by doing the following:
- Adds descriptions to tables and columns that are synced using Fivetran
- Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
- Models staging tables, which will be used in our transform package
This package contains staging models, designed to work simultaneously with our Marketo modeling package. The staging models:
- Remove any rows that are soft-deleted
- Name columns consistently across all packages:
- Boolean fields are prefixed with
is_orhas_ - Timestamps are appended with
_at - ID primary keys are prefixed with the name of the table. For example, the user table's ID column is renamed user_id.
- Boolean fields are prefixed with
Check dbt Hub for the latest installation instructions, or read the dbt docs for more information on installing packages.
By default, this package will look for your Marketo data in the marketo schema of your target database. If this is not where your Marketo data is, add the following configuration to your dbt_project.yml file:
# dbt_project.yml
...
config-version: 2
vars:
marketo_source:
marketo_database: your_database_name
marketo_schema: your_schema_name 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.
- Learn more about Fivetran in the Fivetran docs
- Check out Fivetran's blog
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