← This weekProduct launchData engineering & the warehouse/lakehouseAWSAWS Glue Data Quality has been integrated into Amazon EMR, specifically in the AWS runtime for Apache Spark version 8.1.0. This integration allows users to apply Data Quality Definition Language (DQDL) rulesets directly within EMR Spark jobs. The release introduces two usage patterns: inline validation and a more complex Apache Iceberg Write-Audit-Publish workflow with managed rulesets.
MyDataWork POV — Finally, AWS is making it easier for data teams to ensure quality directly within their EMR workflows. By embedding AWS Glue Data Quality into EMR, teams can now apply DQDL rulesets as they process data with Spark. This integration is a boon for practitioners tired of piecemeal solutions, as it promises consistent data integrity checks across workflows without the overhead of separate quality assurance stages. It's a practical move that acknowledges the fragmented reality of enterprise data environments, aiming for seamless stitching rather than isolated patches.
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