How to evaluate changes in data models quickly? Use Datafold! | Big Data Science

How to evaluate changes in data models quickly? Use Datafold!
You can identify and evaluate changes in different versions of the same data model by writing your own script or using the data inheritance function built into dbt. But for the average business user or novice date analyst, this is too much of a hassle. In use cases, Datafold (https://www.datafold.com/) is a cloud-based product with useful features, including data quality assurance, data monitoring, monitoring, and alerting. The function of calculating column statistics and helps to evaluate subsequent changes in real conditions, in particular, to discuss changes between sets of dates based on a column and values. For large projects, integration with dbt is used. Datafold works with a direct connection to a custom data store and uses Github to compare changes, make changes to dbt models to improve the quality of data collection.
In practice, Datafold can be used to set up product analysts for A / B testing in order to increase preferences and a collection of product features, data engineers - for regression testing of ETL pipelines and users of BI systems for reporting.
Use case: https://medium.com/geekculture/what-if-you-could-compare-changes-in-your-data-models-now-you-can-75f039580d08