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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.

The Seven Phases of Every Migration
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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.

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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.

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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
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 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

Amazon Redshift Migration Checklist
Amazon Redshift Migration Checklist

Prepare and plan for your migration to Amazon Redshift.

Google BigQuery Migration Checklist
Google BigQuery Migration Checklist

Ensure your steps are fully covered in your BigQuery migration.

IBM Cloud Migration Checklist
IBM Cloud Migration Checklist

Fully plan and migrate to IBM Cloud with our checklist.

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