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description: Setting up Pro-Active Data Quality using Datafold
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# Introduction

Getting started with Datafold is accommodated in three parts:

* [**Data Diff**](introduction/data-diff) makes sure that you're in control of the changes to the data pipeline. Don't get fooled by an erroneous transformation, or an unexpected change downstream.
* [**Data catalog with column-level lineage**](introduction/column-level-lineage) gives detailed insight into how the data streams throughout the pipeline, and where reports source their data from.
* [**Alerting**](introduction/alerting) makes sure that you get notified when something unexpected happens with the data that you base your business-critical decisions on.

The getting started guides are based on [Datafolds' public dbt-beers](https://github.com/datafold/dbt-beers) repository.
