Modernize with the SaaS Data Warehouse inMicrosoft Fabric.
Stop provisioning clusters and managing infrastructure. Bring your existing T-SQL skills to a fully managed SaaS warehouse where compute scales instantly and data lives securely in OneLake.
"Legacy data warehouses force you to constantly balance compute costs against query performance. We implement Fabric Data Warehouse to change the paradigm: separate your compute from storage entirely. Your data lives once in OneLake, while serverless compute scales autonomously to serve your Power BI reports in milliseconds."
Sound familiar?
- Managing database infrastructure and scaling compute is a full-time job
- Query performance severely degrades during peak reporting hours
- Data movement across environments causes delays and inflates cloud costs
- Stuck in legacy on-premises SQL Server or fragmented PaaS constraints
- Licensing and compute costs are unpredictable and hard to allocate
- Siloed databases prevent seamless cross-domain enterprise reporting
What's included
- Fabric Data Warehouse architecture & OneLake integration
- Schema migration from legacy SQL environments
- T-SQL stored procedure & data pipeline translation
- Cross-database querying setup for enterprise-wide access
- Performance tuning and serverless compute optimization
- DirectLake integration for instant Power BI semantic models
- Role-Level Security (RLS) and Purview governance setup
- Data engineering upskilling on Fabric paradigms
Retail Analytics Migration
A national retail chain migrated their rigid, on-prem SQL Data Warehouse to Microsoft Fabric. By utilizing zero-copy data sharing in OneLake and DirectLake connectivity, they eliminated daily ETL bottlenecks, allowing store managers to access real-time inventory performance without slowing down the core systems.
Who this is for
Core Industries
Target Buyers
Delivery Timeline
Depending on legacy schema complexity
Ready to modernize your data warehouse?
Book a 30-minute conversation. We'll review your current data environment, discuss your T-SQL constraints, and map out a practical migration strategy to Fabric Data Warehouse — at no cost and no commitment.