Please, Share a use case with Databricks that helped solve a problem

[WiliamRosa]

Tell us about something you developed with Databricks that helped solve a problem at work, or even brought you personal satisfaction (a success case for you).
Remember that small achievements should also be celebrated.

[WiliamRosa · Accepted solution]

Hi Everyone,
One use case I’m proud of was implementing data quality checks in Databricks pipelines.
I designed a solution that runs validations with PySpark and Great Expectations, and then persists the results of the DQ analysis into a Delta table. Later, I used this data to build a dashboard with a global view of data quality across the environment, which gave the teams much better visibility and confidence in the pipelines.

I even shared a detailed post about this here, in case it’s helpful for others:
👉Data Quality with PySpark and Great Expectations on Databricks: https://community.databricks.com/t5/knowledge-sharing-hub/data-quality-with-pyspark-and-great-expect...

It was a great success case for me, and also very rewarding to see how small improvements can bring big value. 🚀