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Global Media Company Migrates From
Netezza to Snowflake

Global Media Company Migrates From Netezza to Snowflake

Global Media Company Migrates From Netezza to Snowflake
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What Next Pathway's Global Media Company Case Study Covers

A Global Media Company migrated Netezza to Snowflake in just 4 months. Next Pathway’s automation platform delivered 100% UAT ready code in 4 weeks, accelerated migration timelines by 62%, and improved QA timelines by 71%.

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Accelerated Netezza Modernization

The customer needed to migrate completely off Netezza due to an end of support deadline. Next Pathway translated over 1,000 tables and more than 500 stored procedures to run natively in Snowflake within four months.

Faster Delivery with Automated Translation

Previous manual migration attempts failed because of high costs, code quality concerns, and missed deadlines. Using the SHIFT Migration Suite, Next Pathway delivered 100% UAT ready code for Snowflake in just 4 weeks and accelerated migration timelines by 62%.

Higher Quality Code and Faster QA

The migration included translation of 50,000 lines of Netezza code and refactoring of 150,000 lines of stored procedure code for Snowflake. SHIFT Migration Suite’s 4 Point QA process accelerated QA timelines by 71% by identifying and remediating defects faster before deployment.

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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
Download Case study
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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