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Legacy Teradata to Snowflake Cloud Migration

National Retailer Moves from Teradata to Snowflake

National Retailer Moves from Teradata to Snowflake
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What Next Pathway's National Retailer Case Study Covers

A National Retailer moved from Teradata to Snowflake in 150 days. Next Pathway’s automation platform delivered 100% UAT ready code within 6 weeks, accelerated migration timelines by 37%, and translated millions of lines of Teradata and DataStage code for Snowflake.

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Accelerated Teradata to Snowflake Migration

The customer needed to migrate off Teradata and onto Snowflake by a fixed June 2020 deadline. Using the SHIFT Migration Suite, Next Pathway delivered 100% UAT ready code within 6 weeks and completed the end to end migration in 150 days.

Large Scale Code Translation

The migration included conversion of 2.5 million lines of Teradata code to Snowflake. Next Pathway also analyzed and repointed 62 million lines of code within DataStage ETL jobs to run against Snowflake.

BI Modernization for Snowflake

The customer required 2,000 BI reports across 5 tools to be translated and repointed to consume data from Snowflake. Next Pathway accelerated migration timelines by 37% compared to earlier manual estimates and project deadlines.

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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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