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A French luxury goods manufacturer migrates from DB2 & SQL Server to Snowflake

A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Snowflake faster and with full confidence.

A French luxury goods manufacturer Migrates from DB2 & SQL server to Snowflake AI Data Cloud
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What Next Pathway's A French luxury goods manufacturer Case Study covers

A French luxury goods manufacturer migrated DB2 and SQL Server to Snowflake while modernizing ETL and data management workflows. Next Pathway automated the migration of 6,000+ objects, reduced operational costs, improved performance, and enhanced data accessibility across the organization.

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Large scale migration automation

Next Pathway used its AI enabled SHIFT platform to translate legacy IBM DB2 and SQL Server workloads for Snowflake compatibility. The migration included translating and reconfiguring Cognos Data Manager and repointing Talend jobs to Snowflake and DBT.

Conversion of 6,000+ objects

SHIFT successfully migrated more than 6,000 objects while allowing existing workflows to continue running without major rewrites. The project included detailed validation and documentation to ensure accurate translation and optimized performance in Snowflake.

Modernized data infrastructure

The migration enabled the customer to reduce operational costs, improve performance, and enhance data accessibility across the organization. The move from DB2, SQL Server, and Talend to Snowflake also strengthened the company’s data management capabilities.

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1 Billion+

Lines of code translated automatically

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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

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

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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