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A step-by-step framework for enterprises moving legacy workloads to the cloud. Three phases, from full-estate discovery to parity proven before cutover.
Our SLMs scan and unify your entire estate into one contextual layer — ETL logic, semantic lineage, real usage, and the SOPs around the code. Full visibility before anything moves.
Our SLMs translate every layer of your estate automatically onto the target platform you choose — legacy SQL, stored procedures, and complex ETL included. 100% automated code coverage with zero manual intervention, preserving 100% of core business logic.
Build your test plan before any code is translated. Automated testing frameworks and data validation prove 1:1 functional parity between legacy and new systems before cutover, with business users and SMEs involved in defining success criteria so parity is judged against real usage.
Lines of code translated automatically
Enterprise modernizations completed
Faster time-to-market for AI-ready infrastructure
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:
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.
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ENDERLE GROUP
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THE BLOOR GROUP
A Practical Enterprise Guide to Planning and Accelerating SAS Modernization.
A step-by-step checklist to transform legacy sprawl into governed, AI-ready data products.
Thinking beyond migration?
We help you modernize your data platform, end to end.
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