Azure Migration Guide
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Azure Migration faster and with full confidence.
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What Next Pathway's Azure Migration Guide covers
A successful Azure Migration migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Azure Migration Guide gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.
Migration Planning and Dependency Analysis
Next Pathway analyzes legacy EDW and data lake environments to uncover data lineage, dependencies, and ETL relationships. CRAWLER360 scans pipelines, databases, and BI tools to identify interdependencies, consolidation opportunities, and migration priorities. This phase removes planning bottlenecks and helps define a complete migration strategy for Microsoft before execution begins.
Data Migration and Automated Code Translation
After the migration plan is defined, workloads and historical data are moved to Microsoft and Azure Data Lake Storage using existing ETL tools and Azure Data Factory. Next Pathway then automates translation of legacy database and ETL code with SHIFT Cloud, reducing manual effort, minimizing dependency on specialized expertise, and accelerating migration for complex enterprise workloads.
Validation, Performance Tuning, and Cutover
The final phase focuses on testing migrated workloads to ensure data accuracy and production readiness in Microsoft. SHIFT automates validation testing to compare legacy and target workloads, reduce manual errors, and support performance tuning before deployment. This helps organizations transition off legacy systems while minimizing disruption to reporting pipelines and business operations.
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 Azure migration covers
A successful migration to Azure 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, Azure-native workloads. Automated translation reduces manual effort and improves consistency.
Validation and functional parity
Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. Full parity is critical for success.
Production cutover planning
Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that prepare early execute migrations faster and with greater confidence.
Latest Insights on Modernization
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