Legacy DataSlowingYou Down.
DB.CONNECT...FAIL
Current Trajectory
The Reality Check
The compound interest of technical debt.
14-Hour Batch Runs
Your SQL Server used to process everything overnight. As data grew, "overnight" stretched into the morning. Business users wait half the day for yesterday's data.
CapEx Black Hole
Paying for peak capacity 24/7. When complex reports run, the server halts. Scaling up means painful downtime and months of budget approvals.
Talent Drain
Engineers spend 80% of their time maintaining brittle ETL pipelines. They want to build AI, but they're stuck doing plumbing. Modern talent demands modern tools.
[ THE SOLUTION ]
A unified foundation
for AI.
Migration Strategy
A detailed plan mapping current source systems to Microsoft Fabric Lakehouse architecture, including security, Medallion Architecture (Bronze, Silver, Gold), and governance. We re-architect for the cloud.
Real-Time Ingestion
Data Factory pipelines and CDC moving data from legacy SQL into Fabric OneLake, designed for incremental loading and schema evolution.
Refactored Models
Legacy stored procedures converted to Fabric Notebooks (PySpark/SQL) optimizing for distributed compute power.
Zero-Downtime Validation
We run the old and new systems in parallel. Automated data reconciliation scripts verify that calculations in Fabric match the legacy system exactly. You sign off before we ever flip the switch.
Escaping a 15-year SQL Monolith.
A medical device manufacturer relied on an aging on-premise SQL Server. Daily processing of IoT telemetry took 12 hours. Any failure meant supply chain analysts ran daily planning blind. Hardware upgrades were quoted at $250K just to maintain status quo.
Replaced 800+ legacy SSIS packages with metadata-driven Fabric pipelines.
Refactored complex Stored Procedures into parallel PySpark Notebooks.