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National Retailer Migrates from
Teradata to Snowflake

AI-powered migration from Teradata to Snowflake accelerated cloud modernization, improved analytics, and reduced migration complexity for a national retailer.

National Retailer Migrates from Teradata to Snowflake
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What Next Pathway's National Retailer Case Study covers

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

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Large Scale Teradata Modernization

The retailer needed to migrate its Teradata enterprise data warehouse to Snowflake within an aggressive June 2020 deadline. Manual migration estimates were missing timelines and inflating costs, creating risk for the organization’s reporting and analytics operations across multiple business lines.

Automated Translation and Repointing

Next Pathway translated 2.5 million lines of Teradata code to Snowflake and analyzed and repointed 62 million lines of DataStage ETL code. The project also migrated 2,000 BI reports across five reporting tools to consume data directly from Snowflake.

Accelerated Snowflake Delivery

Using the SHIFT Migration Suite, Next Pathway delivered 100% UAT ready code within 6 weeks and accelerated the migration timeline by 37% compared to earlier manual estimates. The full migration was completed in 150 days from project commencement to production cut over.

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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

Discover how a global insurance company modernized Oracle and Informatica with AI-powered migration to Snowflake, accelerating cloud adoption, improving analytics, and reducing operational complexity.

Read the case study to see how Next Pathway delivered:

AI-powered Oracle & Informatica conversion
100% automated code translation with SHIFT
Accelerated Snowflake modernization
Reduced migration risk and downtime
Download Case study
Global Insurance Company modernizes their legacy Oracle Informatica platform to Snowflake

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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