Install PipeRider

Install PipeRider and generate an Impact Report in two commands

Installing PipeRider in your dbt project
Install PipeRider with the relevant data source connector using the following command.
pip install -U 'piperider[<connector>]'
The following connectors are supported:
Athena
BigQuery
Databricks
DuckDB
Postgres
Redshift
Snowflake
pip install -U 'piperider[athena]'
pip install -U 'piperider[bigquery]'
pip install -U 'piperider[databricks]'
pip install -U 'piperider[duckdb]'
pip install -U 'piperider[postgres]'
pip install -U 'piperider[redshift]'
pip install -U 'piperider[snowflake]'
PipeRider does not require any configuration to use inside a dbt project.
Create a Data Impact Report (Comparison)
If you are working on feature branch of your dbt project, use the following command to compare your current code changes to merge base:
$ piperider compare
The compare command compares the before-and-after impact of your current code changes and generates a Data Impact Report containing an impact summary and side-by-side data profiling results.
By default, piperider compare assesses modified resources and children (state:modified+).Read more about specifying resources to profile.
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Introduction

Next - Getting Started

Quick Start

Last modified 11h ago

Install PipeRider

Installing PipeRider in your dbt project

Create a Data Impact Report (Comparison)

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