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Fortune 500 Financial Services Company migrates their Legacy Netezza data warehouse, SSIS, DataStage and Informatica
pipelines to Snowflake

Fortune 500 Financial Services Company migrates their Legacy Netezza data warehouse, SSIS, DataStage and Informatica pipelines to Snowflake

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What Next Pathway's Fortune 500 Financial Services Company Case Study covers

A Fortune 500 Financial Services Company migrated a Netezza data warehouse along with ETL pipelines to Snowflake in just 6 months. Next Pathway’s automation platform delivered 100% translation of more than 600,000 lines of Netezza code, repointed thousands of ETL pipelines to Snowflake, and enabled retirement of the legacy enterprise data warehouse environment.

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Large Scale Netezza to Snowflake Migration

Next Pathway migrated the company’s legacy Netezza enterprise data warehouse to Snowflake as part of a large scale cloud modernization initiative. The migration also included complex ETL pipelines built using DataStage, Informatica, and SSIS across a federated enterprise environment.

Automated Translation and ETL Repointing

Using the SHIFT Migration Suite, Next Pathway completed 100% translation of more than 600,000 lines of Netezza code to Snowflake over a 24 week engagement. The project also repointed thousands of ETL pipelines, updated embedded SQL logic, and modified all connection parameters for Snowflake compatibility.

Accelerated Snowflake Modernization

Next Pathway converted BI report SQL queries and repointed reporting workloads from the legacy Netezza platform to Snowflake. Within 6 months, the client successfully retired the legacy data warehouse, modernized ETL operations, and established a scalable Snowflake based analytics environment.

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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
Snowflake Modernization Guide

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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