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A public services and procurement provider migrates from DataStage and Netezza to Azure Synapse

A public services and procurement provider migrates from DataStage and Netezza to Azure Synapse

A public services and procurement provider migrates from DataStage and Netezza to Azure Synapse
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What Next Pathway's A Public Services and Procurement Provider Case Study covers

A public services and procurement provider migrated DataStage and Netezza to Azure Synapse using Next Pathway’s automated migration platform. The project delivered migration of approximately 400 DataStage jobs, optimized long running batch execution processes, and modernized legacy ETL architecture into a cloud native ELT framework.

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Automated DataStage and Netezza Migration

Next Pathway used its Analyzer tool to identify code dependencies and organize the migration into multiple execution sprints. Using SHIFT Cloud, the team converted DataStage Parallel and Sequence Jobs along with embedded Netezza SQL queries into Azure Synapse pipelines.

Cloud Native ELT Modernization

The migration transformed the company’s legacy ETL architecture into a modern ELT framework running on Azure Synapse. This enabled data transformations to execute directly on the Azure database engine, improving scalability and supporting next generation cloud native requirements.

Optimized Batch Processing Performance

Next Pathway optimized long running SCD Type 2 DataStage jobs and delivered optimized Synapse pipelines for end to end batch processing. The project also included migration of C based parameter initialization code to Python, resulting in a fully integrated Azure cloud solution with substantial reductions in batch execution times.

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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
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.

Latest Insights on Modernization

Cloud Migration Resources

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Automotive Leader Moves from Netezza to Snowflake.
Azure Synapse and ADF to Snowflake
Azure Synapse and ADF to Snowflake

British Asset Management Firm Migrates to Snowflake.

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