Build a serverless data quality pipeline using Deequ on AWS Lambda

This article discusses how to build a serverless data quality pipeline using Deequ, an open-source framework from AWS, on AWS Lambda. It covers the importance of data quality checks and how to implement them using Deequ's PyDeequ library.

Specifically, the article covers:

• Overview of the serverless data quality pipeline architecture using AWS services like Lambda, Step Functions, S3, and SNS
• Implementation of data quality checks like completeness, uniqueness, and non-negativity using PyDeequ
• Steps to deploy and run the sample application from the provided GitHub repository
• How to review data quality check results and metrics generated by Deequ
• Considerations for running PyDeequ on AWS Lambda
• Conclusion on the importance of data quality and using Deequ for data quality checks