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.
Last modified 3mo ago
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