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International Retailer Migrates from Hadoop, Teradata, DataStage and Talend to Azure Synapse

International Retailer Migrates from Hadoop, Teradata, DataStage and Talend to Azure Synapse

International Retailer Migrates from Hadoop, Teradata, DataStage and Talend to Azure Synapse
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What Next Pathway's International Retailer Case Study Covers

An International Retailer migrated Hadoop, Teradata, DataStage, and Talend to Azure Synapse. Next Pathway’s automation platform translated more than 3 million lines of Hadoop and Teradata code, migrated over 2,000 legacy ETL jobs, and completed full code translation 52% faster than manual estimates.

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End to End Azure Synapse Migration

The customer needed to migrate a large Hadoop data lake, Teradata enterprise data warehouse, and legacy ETL jobs to Azure Synapse. Next Pathway completed all translation and repointing activities in under 120 days, enabling the customer to meet their planned Azure Synapse cut over date.

Hadoop and Teradata Code Translation

The migration included more than 3 million lines of Hadoop and Teradata SQL and Stored Procedure code. Using the SHIFT Migration Suite, Next Pathway translated all code to run natively inside Azure Synapse with 100% accuracy in 8 weeks.

Legacy ETL Modernization

The customer environment included more than 2,000 IBM DataStage and Talend ETL jobs with limited visibility into legacy pipelines and application dependencies. Using Crawler360, Next Pathway identified 27% data redundancy across the environment and accelerated migration delivery by 52% compared to manual estimates.

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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
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover

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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