Cloud Migration Checklist
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Cloud faster and with full confidence.
Download Your Free Checklist
Complete the form below to get instant access to the Cloud Migration Checklist
By providing information in this form, you agree to Next Pathway’s Privacy Policy
What Next Pathway's Cloud Migration Checklist covers
A successful Cloud migration requires a structured, phase-by-phase approach across discovery, code translation, validation, and cutover. Next Pathway's Cloud Migration Checklist gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.
Project Planning & Onboarding
This phase focuses on defining migration scope, project roles, onboarding requirements, and success criteria before execution begins. It helps teams identify risks, dependencies, and logistics early to reduce delays and align stakeholders on business objectives.
Code Translation & Migration Requirements
This phase covers the assessment of schemas, SQL code, ETL pipelines, UDFs, job dependencies, and other migration workloads. The checklist helps organizations prioritize migration waves and ensure all required code objects are identified before translation begins.
Testing & Validation
This phase emphasizes creating an end-to-end testing strategy early in the migration project. It includes involving business teams in test case development and using automation to validate workloads before cloud cutover.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
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:
Download Snowflake Migration Case Study
See how a British Asset Management Firm accelerated its migration from Azure Synapse and Azure Data Factory to Snowflake with automation, reducing complexity and modernizing its data platform.
What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
What a structured cloud migration checklist covers
A successful cloud migration requires a clear plan across assessment, modernization, validation, and deployment.
Discovery and dependency mapping
Every application, database, ETL pipeline, and dependency must be identified before migration begins. Early assessment reduces risk, delays, and hidden complexity during cloud transformation.
Code translation and modernization
Legacy workloads, SQL code, ETL processes, and applications must be converted into optimized cloud-native architectures. Automation accelerates migration timelines and reduces manual effort.
Validation and functional parity
Every migrated workload must be validated to ensure data accuracy, performance, and operational consistency with the legacy environment before production deployment.
Production cutover planning
Cutover requires a defined strategy covering deployment sequencing, rollback planning, resource allocation, and business sign-off to ensure a smooth cloud transition.
Latest Insights on Modernization
Five Reasons why Next Pathway is Better than a Box of Consultants for Legacy Data Migration
