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

A strategic modernization journey from Azure Synapse and Azure Data Factory to a unified Snowflake data platform.

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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.

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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.

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1 Billion+

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160+

Enterprise modernizations completed

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80%

Faster time-to-market for AI-ready infrastructure

Latest Snowflake Case Study

A global financial services leader modernized Teradata, DataStage, Informatica, and Talend to Snowflake, completing the migration in 10 months with minimal business disruption.

Read the case study to see how Next Pathway delivered:

End-to-end migration completed in just 10 months
2,000 Informatica objects automatically converted
4,000 DataStage jobs migrated to Snowflake
Zero business disruption with automated delivery and QA
Global Financial Services Leader Migrates from Teradata, DataStage, Informatica, and Talend to snowflake_Cover

What Industry Analysts Say

Image (Rob Enderle)
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
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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Snowflake Migration Checklist

Ensure that your migration to Snowflake goes smoothly.

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