DataPureX

**Overview**

DataPureX is a metadata-driven data quality framework built for Azure Databricks. It ensures clean, standardized, and compliant data across the Lakehouse by leveraging Generative AI (GenAI) to analyze metadata and generate automated data quality recommendations.
Operating between the Bronze and Silver layers, DataPureX continuously monitors schema consistency, completeness, and data drift - ensuring high-quality datasets for analytics, reporting, and machine learning without directly accessing raw data.

**Features**

- Automated Metadata Extraction: Profiles datasets to capture schema, null ratios, distinct counts, and drift indicators.
- AI-Powered Quality Assessment: Uses GenAI (LLaMA / Azure OpenAI) to detect data issues.
- Smart Recommendations: Suggests transformations for missing values, standardization, and deduplication.
- Schema & Drift Detection: Identifies column-level changes and data type inconsistencies.
- Compliance & Governance: Logs all quality checks and recommendations for auditability.
- Human Validation Layer: Allows expert review and fine-tuning for accuracy.
- Domain-Specific Quality Rules: Supports Energy, Manufacturing, Retail, Healthcare, and Finance use cases.

**Use Cases**

Energy: Validate IoT sensor data for ingestion consistency and timestamp accuracy.
Manufacturing: Ensure complete production logs and consistent machine identifiers.
Retail & E-Commerce: Detect duplicate SKUs, missing product data, and transaction anomalies.
Healthcare: Validate schema compliance and detect PHI data drift securely.
Finance: Monitor transaction completeness, detect outliers, and ensure regulatory data quality.

**Business Value**

- High Data Trust: Ensures clean, reliable data across layers.
- Faster Data Readiness: Automates validation before data reaches the Silver layer.
- Compliance by Design: Industrial Complaint requirements.
- Metadata-Only Processing: Protects sensitive data while improving quality.
- Continuous Learning: Improves accuracy through feedback and model retraining.

**Additional Insights**

For more details or a live demo of DataPureX, please reach out to us.
You can also schedule a discussion through our Calendly link:
👉https://calendly.com/ganesanv-datapattern/30min