From Legacy Database To Modern Data Platform
Modernized a real estate company's fragmented data infrastructure — consolidating 8 legacy databases into a unified, cloud-native data platform.
Databases consolidated into unified platform
Report generation time
Eliminated inconsistencies
Of data pipeline operations
Databases consolidated into unified platform
Report generation time
Eliminated inconsistencies
Of data pipeline operations
// The Challenge
What We Were Solving
A real estate company had data scattered across 8 different databases — SQL Server, Access, MySQL, and flat files. Reports took hours to generate and data inconsistencies caused costly errors.
// Our Approach
How We Built It
Mapped all data sources, relationships, and business rules across 8 legacy systems
Designed a unified data model with proper normalization and referential integrity
Built automated ETL pipelines to migrate and transform data with validation at every step
Implemented a cloud-native PostgreSQL cluster with read replicas for reporting
// Key Features
What We Delivered
- Data source mapping and dependency analysis
- Unified data model design
- Automated ETL pipelines with validation
- Cloud-native database cluster
- Real-time reporting dashboards
- Data quality monitoring and alerting
// Technology Stack
Built With
// Related Service
Modernization
Legacy Modernization
AI-powered legacy modernization that uses intelligent code analysis, automated dependency mapping, and ML-driven refactoring to transform monoliths into cloud-native platforms — incrementally, with zero downtime.
Learn More// Results
Measurable Impact
Databases consolidated into unified platform
Report generation time
Eliminated inconsistencies
Of data pipeline operations
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