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Snowflake Cloud Migration
Checklist

A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Snowflake faster and with full confidence.

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What Next Pathway's Snowflake Cloud Migration Checklist covers

Enterprises migrating to Snowflake need a structured process covering discovery, translation, testing, and optimization. Next Pathway’s Snowflake Cloud Migration Checklist delivers a proven framework that helps teams improve accuracy, reduce delays, and accelerate modernization initiatives.

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Project Planning & Onboarding

Define migration scope, business objectives, project roles, and cloud environment requirements before execution begins. This phase helps teams identify dependencies and risks early to ensure a smooth migration journey.

Code Translation

Identify workloads, prioritize migration waves, and assess code objects that need to be translated to Snowflake. The checklist also helps teams determine the right ETL migration strategy for efficient execution.

Testing

Build a testing strategy early to validate migrated workloads before cloud cutover. The checklist emphasizes business involvement, clear success criteria, and automation within CI/CD pipelines to improve migration accuracy and speed.

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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
Download Case study
Snowflake Migration Case Study

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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Data Migration Checklist

Ensure your steps are fully covered in your Data migration.

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11 Essential Roles in Cloud Migration

Identify 11 key roles in your cloud migration effort.

DOWNLOAD GUIDE

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Legacy Teradata to Snowflake Cloud Migration
Legacy Teradata to Snowflake Cloud Migration
National Retailer Moves from Teradata to Snowflake.
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