Getting started

Setting up Pro-Active Data Quality using Datafold!

Getting started with Datafold is accommodated in three parts:

  • 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 gives detailed insight into how the data streams throughout the pipeline, and where reports source their data from.

  • 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 repository.