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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 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.

Latest Insights on Modernization

Cloud Migration Resources

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ETL Migration Guide
ETL Migration Guide

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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