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A World Leader in Aircraft Engines migrates from Greenplum to Amazon Redshift

A World Leader in Aircraft Engines migrates from Greenplum to Amazon Redshift

A World Leader in Aircraft Engines migrates from Greenplum to Amazon Redshift
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What Next Pathway's A World Leader in Aircraft Engines Case Study covers

A World Leader in Aircraft Engines migrated Greenplum to Amazon Redshift in just 6 weeks. Next Pathway’s automation platform translated 500 complex stored procedures and more than 70 views, achieved 72% faster migration acceleration over manual approaches, and enabled automated high quality code conversion with rigorous QA testing.

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Accelerated Greenplum to Redshift Migration

Next Pathway supported the migration of a large Greenplum data warehouse environment to Amazon Redshift for a global aircraft engines and avionics company. The initial engagement focused on translating 500 highly complex stored procedures to demonstrate migration speed and feasibility.

Automated Translation and Quality Assurance

Within just 6 weeks, Next Pathway translated all 500 stored procedures and more than 70 views using its automated migration platform. All translated code was validated through a rigorous 4 point QA unit testing process to ensure complete and high quality conversion accuracy.

Proven Migration Acceleration

The results demonstrated a 72% acceleration compared to manual migration approaches, validating the effectiveness of Next Pathway’s automated migration methodology. Following the successful pilot, the company awarded Next Pathway the remaining Greenplum code base migration to Amazon Redshift.

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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
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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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