Data Quality Automation with Glue Data Quality
Flexa Cloud · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
## Data Quality Automation
### Overview
Show the rest of the publisher’s description (32 more lines)
Enterprise solution for automated data quality management on AWS cloud. Powered by **AWS Glue Data Quality**, this accelerator ensures data reliability through automated profiling, monitoring, and anomaly detection, following AWS best practices.
### Key Features
- **Automated Quality Monitoring**: Continuous assessment across all data sources
- **ML-Powered Anomaly Detection**: Intelligent identification of quality issues
- **Custom Rule Engine**: Business-specific validations
- **Real-time Quality Scoring**: Instant visibility into data health
- **Team Enablement**: Knowledge transfer and hands-on training
### AWS Native Architecture
- **AWS Glue Data Quality**: Automated rules and recommendations
- **Glue Data Catalog**: Centralized metadata and quality metrics
- **Glue Studio**: Visual pipeline creation
- **CloudWatch**: Real-time monitoring and alerting
- **Lambda**: Automated remediation workflows
### Benefits
- Detect issues 90% faster with automated monitoring
- Reduce data incidents by 80%
- Achieve 99.9% data accuracy for critical metrics
- Real-time visibility across data ecosystem
### Deliverables
- Data quality rule catalog and automated pipelines
- Custom dashboards with real-time alerts
- Automated remediation workflows
- Hands-on AWS Glue Data Quality training
- Complete documentation and best practices
### Why Choose Flexa?
With **over 15 years of experience** in AI, Data, and Cloud Computing, Flexa brings:
- AWS Data Analytics certified experts
- Pre-built quality rules for various industries
- AWS Advanced Partner with Data & Analytics competency
- End-to-end implementation and support
### Next Steps
Contact us for a free assessment and accelerate your data quality journey with AWS Glue Data Quality.
Highlights
Highlighted by the publisher on AWS Marketplace.
Expert implementation of Data Quality Automation following AWS best practices and Well-Architected Framework
Comprehensive delivery including assessment, implementation, and knowledge transfer to your team
Proven methodology ensuring reduced time to value, increased efficiency, and controlled costs
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

