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Food & Beverage Leader Moves from Teradata & DataStage to Snowflake

Food & Beverage Leader Moves from Teradata & DataStage to Snowflake

Food & Beverage Leader Moves from Teradata & DataStage to Snowflake
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What Next Pathway's Food & Beverage Leader Case Study Covers

A Food & Beverage Leader moved Teradata and DataStage to Snowflake in 60 days. Next Pathway’s automation platform converted and repointed 2,768 DataStage ETL jobs, translated over 6 million lines of code, and delivered a 33% acceleration over early manual estimates.

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Automated ETL Conversion

Next Pathway used the SHIFT Translator application to convert and repoint 2,768 DataStage ETL jobs to run against Snowflake. The migration included source and target connectors, embedded SQL, and XML attributes.

Large Scale Code Translation

The migration required analysis of more than 25 million lines of DataStage ETL code to identify relevant workloads and avoid dependencies on other systems. Over 6 million lines of code were translated as part of the modernization effort.

Faster Migration Delivery

Manual migration estimates were too costly and time intensive for the client’s timeline. Next Pathway delivered all converted and repointed DataStage ETL jobs in 60 days, achieving a 33% acceleration benefit over early manual estimates.

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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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