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11 changes: 10 additions & 1 deletion README.md
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Expand Up @@ -99,4 +99,13 @@ for larger than memory data sets! Show your Lazy skills!
The [tenth exercise](https://github.com/danielbeach/data-engineering-practice/tree/main/Exercises/Exercise-10)
This exercise is to help you learn Data Quality, specifically a tool called Great Expectations. You will
be given an existing datasets in CSV format, as well as an existing pipeline. There is a data quality issue
and you will be asked to implement some Data Quality checks to catch some of these issues.
and you will be asked to implement some Data Quality checks to catch some of these issues.

### Additional Resources

If you are looking for more practice problems and ways to prepare
for Data Engineering interviews, these resources might be helpful.

- [DataDriven.io](https://www.datadriven.io/) - A free platform with 1,400+ real Data Engineering
interview questions. Covers `SQL`, `Python`, data modeling, and system architecture,
with a built-in coding environment to write and run queries directly in the browser.