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Amazon Redshift Migration
Guide

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

Amazon Redshift Migration Guide
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What Next Pathway's Amazon Redshift Migration Guide covers

A successful Amazon Redshift migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Amazon Redshift 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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Project Planning and Onboarding

Define project scope, business objectives, risks, dependencies, and team responsibilities before migration begins. Establish the cloud environment, migration logistics, and success criteria early to keep teams aligned and reduce execution issues during later phases.

Code Translation

Identify the workloads, code objects, and ETL pipelines that need to be migrated and prioritize them by business impact. Define the migration approach for each workload to ensure translation activities are executed in the right sequence with minimal disruption.

Testing and Validation

Build an end to end testing strategy early in the project to validate migrated workloads before cutover. Involve business stakeholders in defining test cases and use automation wherever possible to support CI/CD pipelines and improve migration readiness.

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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 Amazon Redshift migration covers

A successful migration to Amazon Redshift 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, Amazon Redshift-native workloads. Automated translation reduces manual effort and improves consistency.

Validation and functional parity

Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. Full parity is critical for success.

Production cutover planning

Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that prepare early execute migrations faster and with greater confidence.

Latest Insights on Modernization

Cloud Migration Resources

Snowflake Migration Checklist
Snowflake Migration Checklist

Ensure that your migration to Snowflake goes smoothly.

READ CASE STUDY

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Yellowbrick Checklist
Yellowbrick Checklist

Seamlessly migrate to Yellowbrick with our checklist.

READ CASE STUDY

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Oracle to Azure Synapse Analytics Cloud Migration Checklist
Oracle to Azure Synapse Analytics Cloud Migration Checklist

Fully plan, translate & cut-over to Azure Synapse quickly.

READ CASE STUDY

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