Implement data quality checks on Amazon Redshift data assets and integrate with Amazon DataZone
Big Data Blog
This article discusses how to implement data quality checks on Amazon Redshift data assets and integrate them with Amazon DataZone.
Specifically, the article covers:
- An overview of Amazon DataZone and its integration with AWS Glue Data Quality
- A solution to enrich Amazon Redshift data assets with data quality scores and metrics using AWS Glue Studio and a custom visual transform
- Prerequisites and step-by-step instructions to build an AWS Glue visual ETL pipeline for data quality validation on Redshift data
- How to post the data quality results from AWS Glue to Amazon DataZone using the custom visual transform
- Conclusion highlighting the benefits of integrating data quality monitoring with Amazon DataZone for better data-driven decision-making
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