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Data Governance Platform (Datarul)

A comprehensive data management and analytics platform built on a microservices architecture, designed to foster a data culture in the age of AI. Datarul streamlines your enterprise data governance operations and provides access to all your needs on a single platform. Achieved a 28% improvement in data quality through AI-powered data quality controls and visual data lineage tracking.

Project Details

Tech Stack
.Net
Python
Go
React
Redis
RabbitMQ
PostgreSQL
MongoDB
Docker
Kubernetes
AI/ML
Data Governance Platform (Datarul)

Key Features

  • Business Glossary - Creating corporate memory and standardizing business terms
  • Data Dictionary - Managing all database assets under one roof
  • Report Catalog - Monitoring reporting tools and tracking changes
  • Data Lineage - Visualizing and analyzing data flow with diagrams
  • Data Quality - Continuously monitoring data accuracy, consistency, and reliability

Challenges

  • Large-scale data processing and integration
  • Ensuring consistency across various database technologies
  • Real-time data analysis and quality controls
  • Visualizing complex data relationships
  • Enterprise-scale security and access control

Solutions

  • User-friendly, secure, and customizable data governance platform
  • Microservices architecture and event-driven design
  • AI/ML integration for data quality recommendations
  • On-premise and cloud-based deployment options
  • User management with Active Directory integration

Project Gallery

Business Glossary - Creating corporate memory and standardizing business terms
Business Glossary - Creating corporate memory and standardizing business terms
Data Dictionary - Managing all database assets under one roof
Data Dictionary - Managing all database assets under one roof
Report Catalog - Monitoring reporting tools and tracking changes
Report Catalog - Monitoring reporting tools and tracking changes
Data Lineage - Visualizing and analyzing data flow with diagrams
Data Lineage - Visualizing and analyzing data flow with diagrams
Data Quality - Continuously monitoring data accuracy, consistency, and reliability
Data Quality - Continuously monitoring data accuracy, consistency, and reliability