Azure Data Factory to Snowflake Migration Case Study

Next Pathway is an Elite Snowflake Partner, trusted by global enterprises to deliver end-to-end modernization, from deep discovery to production cutover.

British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover (1)

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What Next Pathway's British Asset Management Firm Case Study Covers

A British Asset Management Firm migrated Azure Synapse and Azure Data Factory to Snowflake. Next Pathway’s automation platform delivered 100% automated code translation and migration, completed the project in 10 months, and automated QA and data validation.

Unified Data Platform and Simplified Operations

The firm successfully migrated all Azure Synapse and Data Factory workloads to Snowflake, consolidating multiple environments into a unified data platform. This eliminated legacy cloud silos, simplified IT management, and reduced operational overhead.

Automated Migration with Business Continuity

Next Pathway used SHIFT Cloud to automate code and pipeline conversion to Snowflake while Analyzer Reports delivered full inventory and risk analysis. Automated QA and validation accelerated testing and ensured uninterrupted business operations and compliance throughout the migration.

Foundation for AI and Advanced Analytics

The new Snowflake platform enabled real time analytics and reporting while positioning the company for future AI adoption and improved risk management. The modernized architecture supports scalable analytics workloads and faster executive insights with strong governance and operational efficiency.

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.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months

100% automated code translation with SHIFT

Seamless compliance and financial reporting throughout cutover

Real-time analytics and AI-ready data on a unified platform

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What Industry Analysts Say

Rob Enderle

ENDERLE GROUP

"Next Pathway is providing a solution that accelerates the migration process, giving organizations a faster route to realizing value from their data."

Eric Kavanagh

THE BLOOR GROUP

"SHIFT Cloud enables a remarkably swift and robust transition from traditional data warehousing to the cloud."

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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British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to Snowflake

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What Next Pathway's British Asset Management Firm Case Study Covers

Unified Data Platform and Simplified Operations