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National Grid - A Lesson in Data Change Management

National Gas - Data Transformation amid Significant Business Transformation

National Gas - Data Transformation amid Significant Business Transformation
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What Next Pathway's National Gas Case Study covers

National Gas modernized and separated its data environment during a major business divestiture by migrating DataStage ETL workloads and Oracle database objects to Microsoft Azure. Next Pathway automated the translation of 2250 DataStage jobs and 3000 Oracle database objects, completed Phase 1 in 4 months, and supported an 11 month end to end migration program.

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Automated Azure Migration

Next Pathway automated the translation of 2250 DataStage jobs and 3000 Oracle database objects to Azure Synapse Pipelines and SQL Database. The migration included automated unit testing, code validation, and support for cloud native data flows across Blob Storage, ADLS, and SQLDB environments.

Modern Cloud Data Architecture

National Gas implemented a three zone Azure architecture including a Data Landing Zone, Universal Data Lake, and Business Data Hub. The new environment enabled data validation, cloud native processing, analytics modernization, and improved access to business data through Power BI and Tableau.

Lower Risk Data Transformation

Next Pathway combined historical data migration with system integration testing to reduce migration risk and validate pipelines at scale. The approach helped National Gas modernize legacy systems, reduce dependence on aging infrastructure, and create a foundation for future analytics and operational improvements.

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1 Billion+

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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
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What Industry Analysts Say

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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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