How to Migrate Legacy Systems to the cloud and become AI-Ready
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to How to Migrate Legacy Systems to the cloud and become AI-Ready faster and with full confidence.
Download Your Free Guide
Complete the form below to get instant access to the How to Migrate Legacy Systems to the cloud and become AI-Ready
By providing information in this form, you agree to Next Pathway’s Privacy Policy
What Next Pathway's Migrate Legacy Systems to the Cloud and Become AI Ready Guide covers
A successful legacy systems migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Migrate Legacy Systems to the Cloud and Become AI Ready Guide gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.
Assess Legacy Systems and Define Migration Scope
Evaluate legacy systems, data pipelines, dependencies, and downstream applications before migration begins. NextPathway's CRAWLER360 uses automated discovery and lineage analysis to identify which applications and workloads should move to the cloud.
Translate Applications and Data Pipelines for the Cloud
Migrate applications, ETLs, and legacy code to modern cloud platforms with automated precision. NextPathway's SHIFT automates the translation of millions of lines of code and legacy ETL platforms including SSIS, DataStage, Informatica, and Talend to modern cloud platforms.
Validate Migration and Prepare for AI Readiness
Test migrated applications and data pipelines to confirm workloads execute correctly in the cloud environment. NextPathway's TESTER automates functional testing and validation to accelerate post-migration testing and improve confidence before production deployment, preparing your cloud environment for future AI integration and AI-driven business expansion.
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
Five Reasons why Next Pathway is Better than a Box of Consultants for Legacy Data Migration
