Legacy Teradata to Snowflake Cloud Migration
National Retailer Moves from Teradata to Snowflake
Next Pathway is an Elite Snowflake Partner, trusted by global enterprises to deliver end-to-end modernization, from deep discovery to production cutover.
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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.
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.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
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:
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What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
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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