Global Financial Services Leader Migrates from Teradata, DataStage, Informatica & Talend to Snowflake
A proven framework for modernizing legacy data warehouse and ETL ecosystems with a seamless migration 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 Global Financial Services Leader Migrates from Teradata, DataStage, Informatica & Talend to Snowflake Case Study covers
A Global Financial Services Leader migrated Teradata, DataStage, Informatica, and Talend to Snowflake. Next Pathway's automation platform delivered 10 month end to end migration delivery, 2,000 Informatica objects converted, and 4,000 DataStage jobs migrated.
Accelerated Large Scale Migration
SHIFT automated the translation and migration of Teradata, DataStage, Informatica, and Talend workloads to Snowflake. Analyzer Reports cataloged every legacy object to ensure complete transformation scope while reducing migration risk and accelerating delivery timelines.
Reliable Migration with No Business Disruption
Automated QA frameworks validated pipeline integrity and maintained reliability across complex workloads and sequenced reporting processes. The migration delivered uninterrupted analytics, reporting, and compliance operations with no downtime or business disruption.
Unified Cloud Platform for Analytics and AI
The migration consolidated DataStage and Informatica workloads into a unified Snowflake environment while retiring legacy platforms and reducing operating costs. The organization improved data reliability, accelerated analytics access, and enabled rapid scaling for automation and new AI use cases.
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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