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Microsoft Fabric Cloud Migration Guide

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

Microsoft Fabric Cloud Migration Guide
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What Next Pathway's Microsoft Fabric Cloud Migration Guide covers

A successful Microsoft Fabric Cloud migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Microsoft Fabric Cloud Migration Guide 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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Discover Legacy Workloads and Data Dependencies

Identify legacy applications, ETL pipelines, reporting systems, and downstream dependencies before migration begins. Build visibility into source to target data flows, lineage, and integration points across the enterprise. This phase helps organizations define migration scope and reduce operational risk during modernization.

Translate and Modernize Workloads for Microsoft Fabric

Automate the translation of legacy SQL, ETL pipelines, stored procedures, and analytics workloads to Microsoft Fabric compatible architectures. Modernize data pipelines and integrate workloads into cloud native services while reducing manual redevelopment effort. This phase accelerates migration execution and improves readiness for scalable cloud operations.

Validate, Optimize, and Prepare for Production Cutover

Test migrated workloads and validate data accuracy, pipeline execution, and application functionality before production deployment. Automate validation and performance testing to confirm workloads operate correctly in the Microsoft Fabric environment. This phase helps teams complete migration cutover with confidence and prepare for long term AI and analytics initiatives.

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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 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 Netezza migration covers

 A successful Netezza migration requires a strategic approach to workload modernization, automation, validation, and production readiness. 

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, NZPLSQL procedures, and ETL pipelines must be converted into optimized cloud-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.

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