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Modernizing a Global Payments Data Platform: From DataStage & Oracle to Snowflake, DBT & Airflow

A successful enterprise modernization that transformed Oracle and DataStage into a modern Snowflake ecosystem. 

Modernizing a Global Payments Data Platform: From DataStage & Oracle to Snowflake, DBT & Airflow
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What Next Pathway's Global Payments Provider Case Study Covers

 A Global Payments Provider modernized DataStage and Oracle to Snowflake, DBT, and Airflow in an 18 month transformation program. Next Pathway’s automation platform modernized 200+ applications, transformed 4,000+ DataStage jobs, and re engineered 500+ control workflows while creating a scalable cloud native data platform. 

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Oracle and DataStage Modernization

The customer transformed a 20+ year legacy data ecosystem built on Oracle, DataStage, Control M, and custom scripts. Next Pathway modernized more than 200 applications, transformed 4,000+ DataStage jobs, and eliminated 250+ shell scripts as part of the modernization initiative. 

Snowflake, DBT, and Airflow Transformation

Next Pathway replaced legacy data warehouse, ETL, and orchestration technologies with Snowflake, DBT, and Airflow. The project introduced modular transformation layers, centralized orchestration, reusable DBT macros, and Snowflake native functions to improve scalability and maintainability 

Multi Tenant Architecture and AI Readiness

The modernization transitioned the organization from tenant specific schemas to a unified multi tenant architecture. The new platform enabled faster onboarding of new tenants, enterprise wide data accessibility, real time analytics capabilities, and a foundation for future AI and advanced analytics initiatives. 

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

What Industry Analysts Say

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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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