How to Automate Your Migration to the Cloud
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Automate Your Migration to the Cloud faster and with full confidence.
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What Next Pathway's How to Automate Your Migration to the Cloud Guide covers
A successful cloud migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's How to Automate Your Migration to the Cloud Guide gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.
Discover and Assess Legacy Data Environments
Scan and catalog legacy data sources, ETL pipelines, scheduler jobs, and downstream applications before migration begins. Build visibility into dependencies and migration scope across complex enterprise data warehouse environments. This phase helps organizations improve migration planning and reduce operational risk.
Translate Code and Data Pipelines for the Cloud
Automate the translation of SQL, stored procedures, ETL pipelines, and other code objects to run on cloud platforms. SHIFT Cloud helps eliminate manual redevelopment while accounting for performance and optimization requirements. This phase accelerates migration timelines and simplifies large scale modernization efforts.
Validate Workloads and Prepare for Cutover
Automate data validation and compare results between legacy and cloud environments before production deployment. Test migrated workloads to confirm data accuracy and execution readiness ahead of cutover. This phase helps enterprises reduce post migration issues and move to the cloud with confidence.
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:
Free Step-by-Step Guide
Accelerate your migration to the cloud with SHIFT. Learn how to modernize your legacy data warehouse with 95%+ automation.
What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
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.
Latest Insights on Modernization
Data Lineage is Not Optional: Why Regulatory Compliance Demands Full-Spectrum Modernization
