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Data Quality Automation with Glue Data Quality

Data Quality Automation (Deequ) solution designed to accelerate business outcomes on AWS. Includes diagnostic, planning, and value-driven delivery with AWS best practices and clear metrics.

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About

Data Quality Automation

Overview

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

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