Azure Synapse Cloud Migration
Checklist
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Azure Synapse faster and with full confidence.
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What Next Pathway's Yellowbrick Cloud Migration Checklist covers
A successful Yellowbrick Cloud migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Yellowbrick 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 and Onboarding
Establish the project charter, migration scope, and success criteria early to align business and technical teams. Define roles, responsibilities, cloud environment setup, and execution logistics before migration begins. Identify dependencies, risks, and bottlenecks upfront to reduce delays during later migration phases.
Code Translation
Determine which workloads, code objects, and ETL pipelines need to be migrated and prioritize them based on business impact. Define whether ETL processes will be migrated as is or modernized during the transition. Ensure all required code is identified before translation to avoid execution gaps and unexpected blockers.
Testing
Build an end to end testing strategy at the start of the migration project to prioritize workloads and validate outcomes efficiently. Involve business stakeholders in test case development so success criteria are clearly defined and measurable. Use automation wherever possible across testing and CI/CD pipelines to improve migration quality 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:
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What Industry Analysts Say
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ENDERLE GROUP
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THE BLOOR GROUP
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
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