Leading global professional services firm migrates from SQL Server
to Azure Synapse
Leading global professional services firm migrates from SQL Server to Azure Synapse
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What Next Pathway's Leading Global Professional Services Firm Case Study covers
A Leading Global Professional Services Firm migrated SQL Server to Azure Synapse in just 4 months. Next Pathway’s automation platform translated 500 stored procedures, modernized legacy SQL Server architecture with a lift and modernize strategy, and improved governance, audit support, and operational efficiency.
Accelerated SQL Server Migration
Next Pathway partnered with Microsoft to migrate 500 SQL Server stored procedures to Azure Synapse Pipelines across four logical migration waves. Using SHIFT automated code translation, the team completed the migration within 4 months while supporting integrations with ERP systems including SAP and Oracle.
Lift and Modernize Cloud Architecture
The migration followed a lift and modernize strategy instead of a simple lift and shift approach. The project introduced modern technologies and services, improved governance processes, and reengineered existing data models and structures to optimize performance and operational efficiency on Azure Synapse.
Improved Efficiency and Data Management
The Azure Synapse migration streamlined operations, improved data extraction and analytics capabilities, and strengthened automation for audit support. The project also enabled legacy system decommissioning, improved data availability and discoverability, and expanded audit coverage across diverse client data sources.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
Latest Snowflake Case Study
Next Pathway helped a UK-based asset management leader migrate from Azure Synapse and Azure Data Factory to Snowflake with zero business disruption and 100% automated code translation.
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What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
What a structured Snowflake migration covers
A successful migration to Snowflake requires a clear plan across four disciplines.
Discovery and dependency mapping
Every code object, ETL pipeline, and data dependency needs to be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and risk.
Code translation and modernization
Legacy SQL, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.
Validation and functional parity
Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.
Production cutover planning
Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.
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