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A National Utility Migrates an Oracle Database with DataStage Pipelines to Microsoft Azure

A National Utility Migrates an Oracle Database with DataStage Pipelines to Microsoft Azure

A National Utility Migrates an Oracle Database with DataStage Pipelines to Microsoft Azure
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What Next Pathway's A National Utility Case Study covers

A National Utility migrated an Oracle Database with DataStage Pipelines to Microsoft Azure in just 5 months. Next Pathway’s automation platform parsed thousands of DataStage jobs, translated Oracle database objects and ETL workloads to Azure Synapse and Azure Data Factory, and enabled cloud native integration with Azure Data Lake and Business Data Hub environments.

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Large Scale Oracle and DataStage Migration

Next Pathway migrated a legacy Oracle database and thousands of DataStage ETL jobs to Microsoft Azure as part of a major divestiture initiative. The project modernized the environment using Azure Synapse SQL and Azure Data Factory Synapse Pipelines within a 5 month timeline.

Automated Migration Planning and Code Translation

Using its CRAWLER360 migration planning tool, Next Pathway captured lineage metadata, job dependencies, ingestion modes, and table level information across thousands of DataStage jobs. SHIFT automated the translation of Oracle database objects and ETL pipelines while applying Next Pathway’s 4 point QA testing process for all translated code.

Azure Data Modernization and Cloud Integration

Beyond code translation, Next Pathway modernized the client’s Azure deployment by enabling Data Landing Zone functionality, populating Azure Data Lake, and creating Business Data Hub tables. The resulting architecture established scalable cloud connectivity across Azure data services while supporting long term modernization goals.

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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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