Ensure Glue Data Quality rules are configured for critical datasets
Data Quality rules validate data accuracy, completeness, and consistency to catch issues early in ETL pipelines.
Security Impact
Poor data quality propagates through pipelines, causing incorrect analytics and business decisions.
How to Remediate
Configure Data Quality rulesets for critical tables. Define rules for completeness, uniqueness, and data type validation.
Affected Resources
Compliance Frameworks
How TigerGate Helps
TigerGate continuously monitors your AWS environment to detect and alert on this misconfiguration. Here's what our platform does for this specific check:
- Continuous Scanning
Automatically scans all AWS Glue resources across your AWS accounts every hour
- Instant Alerts
Get notified via Slack, email, or webhooks when this misconfiguration is detected
- One-Click Remediation
Fix this issue directly from the TigerGate dashboard with our guided remediation
- Compliance Evidence
Automatically collect audit evidence for Data Governance, Data Quality compliance
- Drift Detection
Get alerted if this configuration drifts back to an insecure state after remediation
Check Details
- Check ID
- aws-glue-15
- Service
- AWS Glue
- Category
- Data Quality
- Severity
- MEDIUM
Automate This Check
TigerGate automatically scans your AWS environment for this and 575+ other security checks.
Start Free TrialRelated AWS Glue Checks
View all checksEnsure Glue Data Catalog encryption at rest is enabled
Ensure Glue connection passwords are encrypted
Ensure Glue jobs have encryption for S3 data targets
Ensure Glue jobs have CloudWatch log encryption enabled
Ensure Glue jobs are configured with job bookmarks