AWS Tutorials - Data Quality Check using AWS Glue DataBrew

The code link – https://github.com/aws-dojo/analytics/blob/main/DataProfileCheck.py

Maintaining data quality is very important for the data platform. Bad data can break ETL jobs. It can crash dashboards and reports. It can hit accuracy of the machine learning models due to bias and error. AWS Glue DataBrew Data Profile jobs can be used for data quality checks. One can define data quality rules and validate data against it. Learning how to use Data Quality Rules in AWS Glue DataBrew to validate data quality.

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