PipeRider

For data practitioner who wants to trust their data by:

• Defining the shape of data, so they can make sure the data will be expected in the future
• Save time on debugging data,easily discover & discuss any data problems from upstream
• Socially collaborate across teams on the dataset through data catalog and data insights

Install

$ pip install piperider-cli

Install with connectors

By default, we support the built-in sqlite connector, there are extra connectors:

• snowflake
• postgres

Install with postgres connector:

pip install piperider-cli[postgres]

It could be more than one connector with comma:

pip install piperider-cli[postgres,snowflake]

Command

Attach piperider to a dbt project

$ piperider-cli init

This command creates /.piperider under a dbt project root and generate necessary configurations.

Scan models

$ piperider-cli run

This command scans the models from datasource and create assessment results in /.piperider/output

Generate reports

$ piperider-cli generate-report <piperider result file>

generate a static html report under current path.