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Amazon Redshift Cloud Migration
Checklist

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 Cloud Migration Checklist
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What Next Pathway's Amazon Redshift Cloud Migration Checklist 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 Cloud Migration Checklist 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, migration objectives, and success criteria before execution begins. Establish clear roles, responsibilities, dependencies, and risk management processes to keep migration teams aligned. Prepare the cloud environment and execution plan early to reduce delays during later phases.

Code Translation

Identify workloads, code objects, and ETL processes that need to be migrated across each migration wave. Define workload priorities early to execute migration activities in the right sequence. Determine whether ETL pipelines should be rewritten or repointed to support the target architecture efficiently.

Testing

Build an end to end testing strategy at the start of the project to prioritize workloads and validate migration outcomes. Involve business stakeholders in test case development to align testing with business success criteria. Use automation throughout CI/CD pipelines to improve testing efficiency and reduce risks before cutover.

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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 Cloud Migration Case Study

Next Pathway helped a global financial services provider migrate from Teradata to Snowflake and Amazon Redshift, translating 19 million lines of code with 100% automation.

Read the case study to see how Next Pathway delivered:

End-to-end migration from Teradata to Snowflake and Amazon Redshift
19 million lines of Teradata SQL and Stored Procedure code translated
Automated code translation achieved with SHIFT
Migration timelines accelerated by 72% compared to manual estimates.
DOWNLOAD CASE STUDY
Global Financial Services Provider Migrates from Teradata to Snowflake and Amazon Redshift

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 an Amazon Redshift migration covers

A successful Amazon Redshift migration requires planning across architecture, code conversion, data validation, and production deployment.

Environment Assessment and Dependency Analysis

Inventory Redshift clusters, schemas, SQL workloads, ETL pipelines, BI reports, and downstream dependencies. Understanding the full scope of your environment helps prevent migration delays and unexpected issues.

SQL, ETL, and Code Conversion

Redshift SQL scripts, stored procedures, data pipelines, and integrations must be translated and optimized for the target cloud platform. Automated conversion accelerates migration while reducing manual effort and risk.

Data Validation and Performance Testing

Validate migrated data for completeness, accuracy, and functional parity. Testing ensures reports, dashboards, and analytics workloads perform as expected in the new environment before go-live.

Cutover and Operational Readiness

Prepare for production deployment with rollback planning, user acceptance testing, governance controls, and operational monitoring. A structured cutover strategy minimizes business disruption and ensures a smooth transition.

Latest Insights on Modernization

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ETL Migration Guide
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Re-point and re-write your legacy ETLs to the cloud.

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Databricks Data Migration Checklist
Databricks Data Migration Checklist

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