The Seven Phases of Every Migration
Checklist
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to The Seven Phases of Every faster and with full confidence.
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What Next Pathway's The Seven Phases of Every Migration covers
A successful Cloud migration requires a structured, phase-by-phase approach across discovery, code translation, validation, and cutover. Next Pathway's The Seven Phases of Every Migration gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.
Discovery & Assessment
Identify and inventory existing data, ETL processes, reports, and dependencies across the current environment. This phase establishes migration scope, uncovers technical complexity, and creates a baseline for planning and automation.
Migration Planning & Architecture
Define the target cloud architecture, migration sequencing, timelines, and resource requirements. Teams align on governance, security, testing strategies, and execution plans to reduce migration risk and avoid operational disruption.
Automated Code Translation & Modernization
Translate legacy SQL, ETL, and procedural code into cloud-native equivalents using automation. This phase accelerates migration timelines, improves consistency, and reduces the manual effort required to modernize enterprise workloads.
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 the 7 phases of every migration checklist cover
A successful migration requires a structured approach from assessment and planning through validation and production cutover.
Assessment and Migration Planning
Inventory legacy systems, analyze workloads, identify dependencies, define migration scope, and establish the target cloud architecture. Early planning reduces risk, improves timelines, and provides a clear migration roadmap.
Automated Code and Data Migration
Legacy SQL, ETL pipelines, stored procedures, and data assets must be translated and migrated to cloud-native platforms. Automation accelerates migration, improves accuracy, and minimizes manual effort.
Testing, Validation, and Optimization
Every migrated workload should be tested for functional equivalence, data accuracy, performance, and scalability. Validation ensures business continuity while optimization improves cloud efficiency and cost control.
Production Cutover and Go-Live
Execute the final migration with a defined cutover strategy, rollback planning, stakeholder alignment, and operational readiness. A structured go-live process minimizes disruption and ensures a smooth transition to production.
Latest Insights on Modernization
From Discovery to Cutover: A Step-by-Step Architecture for Automated Migration Planning
