How Emulus Consulting Modernized SQL Workloads with Pulse Convert: SQL to Microsoft Fabric Migration
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Emulus Consulting, a premier market research, data engineering, and business intelligence firm, partnered with Office Solution AI Labs to modernize its enterprise SQL workloads. Leveraging Pulse Convert — the enterprise database and ETL migration accelerator — Emulus migrated over 1,620 SQL databases, tables, views, complex stored procedures, user-defined functions, and ETL jobs to Microsoft Fabric. The project achieved 81% automated conversion accuracy, reduced total migration effort by approximately 70%, and established a modern, cloud-native Lakehouse and Warehouse architecture on Microsoft Fabric in 18 weeks with zero business disruption.
Case study at a glance
| Item | Detail |
|---|---|
| Client | Emulus Consulting, a Gurugram-based consultancy specializing in market research, data engineering & business intelligence |
| Website | https://www.emulus.co/ |
| Industry | Market Research, Data Engineering & Business Intelligence |
| Migration Type | SQL Server / SQL-based Databases to Microsoft Fabric |
| Solution | Pulse Convert by Office Solution AI Labs |
| Objects Migrated | 1,620+ SQL databases, schemas, DDL tables, views, stored procedures, functions, trigger logic, and SQL Agent jobs |
| Project Timeline | 18 weeks from discovery to production validation and handover |
| Automated Accuracy | 81% initial automated conversion pass (within proven 70–90% benchmark) |
| Effort Reduction | Approximately 70% reduction compared to pure manual rewrite |
| Target Architecture | Microsoft Fabric Lakehouse (Delta Parquet tables), Fabric Warehouse (T-SQL schemas), Data Factory pipelines, and OneLake integration |
| Validation | Cell-by-cell numerical reconciliation, schema parity audits, query performance benchmarking, and parallel run validation |
How we measure accuracy: The percentage of SQL Server table DDL, view definitions, stored procedures, user-defined functions, T-SQL ETL transformations, and SQL agent jobs converted automatically into functional Microsoft Fabric Lakehouse tables (Delta Parquet), Warehouse schemas, Data Factory pipelines, Dataflows Gen2, or Notebooks that pass validation without manual rework.
Executive Summary
Emulus Consulting successfully migrated a significant portion of its SQL Server and SQL-based data workloads to Microsoft Fabric using Pulse Convert, the AI-powered migration accelerator from Office Solution AI Labs.
The project achieved 81% automated conversion accuracy, reduced overall migration effort by approximately 70%, and delivered a modern, scalable Lakehouse and Warehouse architecture on Microsoft Fabric. The engagement was completed in 18 weeks while preserving critical business logic and improving performance, governance, and scalability.
The Challenge: Overcoming SQL Server Scalability and Infrastructure Overhead
Emulus Consulting had long relied on SQL Server and related SQL environments for core data storage, transformation, and analytics supporting market research and client projects. As the firm accelerated its Microsoft Fabric strategy, several challenges became critical:
High infrastructure, licensing, and maintenance costs associated with traditional SQL Server environments
Maintaining dedicated on-premises hardware, virtual machines, SQL Server Enterprise licenses, storage arrays, and high-availability Always On clusters consumed an excessive portion of the enterprise IT operational budget.
Limited elasticity and cloud-native scalability
Fixed compute resources created significant performance degradation during peak ETL batch windows and concurrent analytics querying, leading to resource contention and delayed reporting cycles.
Growing complexity of stored procedures, views, and custom SQL logic
Decades of database evolution generated hundreds of deeply nested stored procedures, dynamic SQL scripts, multi-statement table-valued functions, and layered views that lacked central documentation and modular design.
Difficulty achieving seamless integration with Power BI, OneLake, and modern Microsoft analytics services
Isolated SQL databases required complex refresh gateways and data duplication to feed downstream dashboards, preventing the firm from taking advantage of open Delta Lake formats and Power BI Direct Lake zero-copy querying.
Desire for unified governance, end-to-end lineage, and AI readiness
Siloed SQL instances made cross-database data lineage and data discovery difficult, hindering governance compliance and preventing rapid enablement of Microsoft Copilot and Azure AI services.
Need to reduce technical debt and modernize the data platform
The enterprise estate had accumulated redundant staging tables, legacy SQL Agent jobs, and obsolete schemas that complicated database administration and increased vulnerability surfaces.
The Solution: Pulse Convert
Emulus partnered with Office Solution AI Labs and leveraged Pulse Convert to accelerate the SQL to Microsoft Fabric migration.
Pulse Convert incorporates specialized parsers and semantic mapping engines engineered specifically for T-SQL dialects, SQL Server catalog metadata, and Microsoft Fabric target lakehouse architectures:
- Automated discovery and complexity assessment of SQL databases, schemas, tables, views, stored procedures, and dependencies: Scanning database metadata, cataloging object counts, analyzing execution frequencies, and generating dependency trees to prioritize workload waves.
- Intelligent mapping of SQL objects to Fabric-native assets: Classifying tables and schemas into optimal Fabric targets — routing analytical fact/dimension tables into Fabric Lakehouses (Delta Parquet) and operational relational models into Fabric Warehouses.
- Translation of T-SQL logic, transformations, and business rules: Ingesting stored procedures, views, and functions, refactoring proprietary T-SQL syntax into Fabric-compatible T-SQL, PySpark Notebooks, or Dataflows Gen2 steps.
- Identification of rationalization opportunities: Detecting unused tables, obsolete views, and redundant stored procedures, allowing Emulus to prune hundreds of legacy objects before migration.
- Alignment with Microsoft Fabric best practices for performance, governance, and scalability: Configuring Delta table partitioning, V-Order optimization, OneLake shortcuts, and centralized Purview data governance.
The platform delivered an initial conversion accuracy of 81%, allowing expert teams to focus on complex stored-procedure refactoring, data model optimization, and validation — consistent with the 70–90% accuracy range achieved across enterprise migrations.
Migration Approach & Timeline (18 Weeks)
The modernization was executed across four structured phases over an 18-week timeline, ensuring full governance, data integrity, and continuous business operations:
| Phase | Duration | Key Activities |
|---|---|---|
| Discovery & Assessment | Weeks 1–3 | Full inventory of SQL objects, dependency analysis, complexity scoring, and rationalization. |
| Automated Conversion | Weeks 4–9 | Pulse Convert processing and mapping to Fabric Lakehouse, Warehouse, and Pipelines. |
| Refinement & Optimization | Weeks 10–14 | Logic validation, performance tuning, data quality checks, and model alignment. |
| Testing, Parallel Run & Handover | Weeks 15–18 | Output comparison, UAT, monitoring setup, training, and knowledge transfer. |
Discovery & Assessment
— Weeks 1–3Pulse Convert ingested metadata across Emulus's SQL Server estate, cataloging 1,620+ objects including tables, views, stored procedures, and scheduled jobs. Workload profiling revealed that over 20% of objects were obsolete or duplicates, which were pruned before conversion.
Automated Conversion
— Weeks 4–9Pulse Convert translated table DDL, converted T-SQL queries and views into Fabric Warehouse schemas and Lakehouse Delta Parquet tables, and mapped procedural transformations into Fabric Data Factory pipelines and PySpark Notebooks.
Refinement & Optimization
— Weeks 10–14Data engineering teams refactored complex cursors and dynamic SQL statements, applied Fabric V-Order write optimizations for Delta tables, configured automated pipeline retries, and optimized star-schema relationships.
Testing, Parallel Run & Handover
— Weeks 15–18Conducted automated cell-by-cell numerical reconciliation between legacy SQL Server databases and Fabric Lakehouses. Executed parallel production runs, set up Fabric monitoring, and trained operations staff.
Key Results
The migration of Emulus Consulting's SQL estate to Microsoft Fabric delivered measurable, enterprise-grade business outcomes:
- 81% conversion accuracy on the automated pass: Over 1,310 SQL tables, views, stored procedures, and pipeline objects converted automatically without manual code rewriting.
- Approximately 70% reduction in overall migration effort compared to pure manual rewrite: Completed in 18 weeks compared to an estimated 60+ weeks for a manual ground-up rewrite.
- Significant reduction in SQL Server infrastructure and licensing costs: Decommissioned legacy SQL Server virtual machines and storage arrays, substantially lowering operational expenditures.
- Modern, scalable Lakehouse and Warehouse architecture on Microsoft Fabric: Elastic cloud compute provides on-demand scaling during peak batch cycles with zero hardware contention.
- Improved integration with Power BI semantic models and OneLake: Direct Lake mode querying directly against OneLake Delta Parquet tables delivers sub-second dashboard rendering.
- Stronger governance, lineage, and operational visibility: Centralized data cataloging and end-to-end lineage visualization through Microsoft Purview and Fabric Monitoring Hub.
- Foundation ready for AI and advanced analytics workloads: Unified data lakehouse enables immediate access for Azure OpenAI, Microsoft Copilot, and custom machine learning models.
Business Impact: Modernizing Enterprise Data Platforms Across Sectors
By migrating from traditional SQL environments to Microsoft Fabric with Pulse Convert, Emulus Consulting modernized its core data platform, lowered operational costs, and strengthened its ability to deliver Microsoft Fabric and Power BI solutions to clients across market research, FMCG, Pharma, and BFSI sectors.
Frequently Asked Questions
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