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National Gas - Data Transformation amid Significant Business Transformation

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 Cloud Migration Case Study

A global luxury brand modernized IBM DB2, SQL Server, Cognos Data Manager, and Talend to Snowflake and DBT in just 12 months, creating a scalable foundation for analytics and AI.

Read the case study to see how Next Pathway delivered:

Modernization completed in just 12 months
100% automated code translation with SHIFT
Scalable Snowflake and DBT architecture across business units
Improved analytics performance with an AI-ready cloud foundation
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Modernizing a Global Luxury Brand’s Data Platform From IBM DB2 & SQL Server to Snowflake & DBT

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 Cloud Migration Covers

A successful cloud migration requires a structured approach across four critical phases to minimize risk, accelerate delivery, and ensure business continuity.

Discovery and Migration Assessment

Identify applications, databases, ETL pipelines, code objects, infrastructure, and dependencies before migration begins. A comprehensive assessment uncovers technical complexity, estimates migration effort, and helps prioritize workloads for a smooth transition.

Code, Data, and Platform Modernization

Legacy SQL, ETL workflows, stored procedures, scripts, and data models are transformed into cloud-native architectures. Automated code conversion and modernization reduce manual effort, improve accuracy, and accelerate migration to platforms such as Snowflake, Databricks, Redshift, Synapse, or BigQuery.

Migration Validation and Testing

Every migrated workload is validated to ensure data integrity, functional equivalence, and performance against the legacy environment. Comprehensive testing—including reconciliation, regression, and performance validation—ensures production readiness before go-live.

Deployment and Production Cutover

Execute the production migration with a well-defined cutover strategy covering deployment sequencing, rollback planning, business validation, and post-migration monitoring. A structured cutover minimizes downtime, reduces operational risk, and enables a confident transition to the cloud.

Latest Insights on Modernization

Cloud Migration Resources

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DataStage & DB2 to Google Cloud Platform
Financial Services Company Migrates DataStage & DB2 to Google Cloud.
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Teradata to Amazon Redshift and Snowflake
Teradata to Amazon Redshift and Snowflake
Global Financial Firm Migrates to Snowflake & Redshift
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Legacy Netezza to Snowflake Cloud Migration
Legacy Netezza to Snowflake Cloud Migration
Automotive Company Modernizes Data Platform with Snowflake.
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