This package models GitHub data from Fivetran's connector. It uses data in the format described by this ERD.
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
This package contains staging models, designed to work simultaneously with our GitHub modeling package. The staging models are designed to:
- 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 docs for more information on installing packages.
By default this package will run using your target database, and the github
schema. If this is not where your GitHub data is (perhaps your gitHub schema is Github_fivetran
), please add the following configuration to your dbt_project.yml
file:
# dbt_project.yml
...
config-version: 2
vars:
github_source:
github_database: your_database_name
github_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 here
- Check out Fivetran's blog
- Learn more about dbt in the docs
- Check out Discourse for commonly asked questions and answers
- Join the chat on Slack for live discussions and support
- Find dbt events near you
- Check out the blog for the latest news on dbt's development and best practices