Express Shipping & Delivery Company Migrates from Teradata, Talend, and Informatica PowerCenter to Snowflake
Transforming legacy data and ETL ecosystems into a unified Snowflake platform for improved performance, scalability, and real-time decision-making.
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 Express Shipping & Delivery Company Case Study covers
An Express Shipping & Delivery Company migrated Teradata, Talend, and Informatica PowerCenter to Snowflake. Next Pathway’s automation platform delivered a six months migration timeline, 100% automated code translation using SHIFT Cloud, and a direct move to a cloud native architecture with no interim states.
Accelerated Cloud Migration
Next Pathway automated the migration of all legacy Talend and Informatica PowerCenter ETL pipelines to the latest Talend version while converting Teradata warehouse code to Snowflake SQL. The entire migration was completed in six months with end to end automation that reduced manual effort and improved execution speed.
Full Legacy Modernization
The company fully modernized its legacy ETL and data warehouse ecosystem, eliminating technical debt and moving directly to a cloud native architecture. The migration avoided interim or hybrid states, simplifying the transition and accelerating time to value.
Scalable Cloud Native Foundation
The migration established a scalable and cost efficient cloud platform that supports future analytics initiatives and operational growth. Business and IT teams gained confidence in the speed, consistency, and repeatability of automated migration.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
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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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Leading Express Shipping & Delivery company migrated from Teradata, Talend, and Informatica PowerCenter to Snowflake with 100% automation, simplifying legacy data warehouse and ETL modernization.
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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