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Greenplum Migration Guide

A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Snowflake faster and with full confidence.

Greenplum Migration Guide
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What Next Pathway's Greenplum Migration Guide Covers

A successful Greenplum migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Greenplum Migration Guide gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.

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Discover and Assess the Migration Scope

Next Pathway begins by scanning and cataloging your Greenplum environment using CRAWLER360. This includes ETL pipelines, scheduler jobs, SQL code, stored procedures, and downstream consuming applications. Teams gain a complete view of dependencies and migration scope before execution begins.

Automate Code Translation and Conversion

SHIFT automates the translation of SQL, stored procedures, ETL workflows, and other legacy code objects. The platform reduces manual development effort while accounting for optimization and performance requirements during migration to modern cloud platforms.

Validate Data and Prepare for Cutover

Next Pathway uses automated testing and validation to compare data results between legacy and cloud environments. This approach helps teams identify issues before cutover, accelerate testing cycles, and move into production with greater confidence in migration accuracy and performance.

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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 Greenplum migration covers

 Successful Greenplum migrations require end-to-end planning across modernization, validation, automation, and deployment readiness. 

Discovery and dependency mapping

Every database object, ETL pipeline, and data dependency must be identified and documented before migration begins. Hidden complexity discovered mid-migration creates delays and operational risk.

Code translation and modernization

Legacy SQL, stored procedures, and ETL workflows must be converted into optimized cloud-native workloads. Automated translation reduces manual effort and accelerates modernization.

Validation and functional parity

Every migrated workload must be validated against the source environment to confirm data accuracy, performance, and functional equivalence before cutover.

Production cutover planning

Download the Greenplum Migration Guide to learn automated migration, workload modernization, validation, and cloud deployment best practices.

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