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Global E-Commerce Company Plans Migration from Teradata, SQL
Server & Hadoop

Global E-Commerce Company Plans Migration from Teradata, SQL Server & Hadoop

Global E-Commerce Company Plans Migration from Teradata, SQL Server & Hadoop
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What Next Pathway's Global E Commerce Company Case Study Covers

A Global E Commerce Company planned the migration of Teradata, SQL Server, and Hadoop environments. Next Pathway’s automation platform analyzed over 7 million lines of code, identified 21% data redundancy, and delivered an end to end migration strategy in 6 weeks.

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End to End Migration Strategy

The customer needed a clear migration strategy for complex legacy environments built through multiple acquisitions. Next Pathway delivered a complete migration architecture and roadmap within 6 weeks, enabling migration activities to begin faster than planned.

Legacy Environment Discovery

The environment included a Teradata enterprise data warehouse, a SQL Server data mart, and a large Hadoop cluster. Using SHIFT Crawler, Next Pathway analyzed over 7 million lines of code to understand application interactions and user consumption patterns.

Data Redundancy Identification

SHIFT Crawler identified 21% data redundancy across the three legacy environments. The analysis identified which workloads required migration and which systems could be decommissioned to simplify the modernization effort.

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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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