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Leading Manufacturer Migrates from Informatica PowerCenter to Azure Data Factory and DBT

Leading Manufacturer Migrates from Informatica PowerCenter to Azure Data Factory and DBT

Leading Manufacturer Migrates Legacy Systems to Snowflake
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What Next Pathway's Leading Manufacturer Case Study covers

A Leading Manufacturer migrated Informatica PowerCenter to Azure Data Factory and DBT as part of a broader Snowflake modernization initiative. Next Pathway’s automation platform delivered a 95% automated code conversion rate, accelerated legacy system modernization, and improved data processing performance.

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Automated Code Conversion

Next Pathway used the SHIFT Product Platform to automate Informatica PowerCenter code conversion and unit testing for Azure Data Factory and DBT. The migration achieved a 95% automated conversion rate across complex workflows, mappings, and mapplets, reducing manual effort and accelerating delivery.

Enterprise Data Modernization

The migration positioned the manufacturer to modernize its Enterprise Data Warehouse on a scalable cloud based platform. By moving from legacy ETL systems to cloud native technologies, the company improved agility, scalability, and operational efficiency across its data environment.

Streamlined Cloud Native Architecture

The project consolidated multiple legacy systems into a modern cloud native environment built on Azure Data Factory, DBT, and Snowflake. This reduced future technical debt, supported the retirement of on premises systems, and enhanced overall data processing capabilities and performance.

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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

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
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_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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