Informatica Migration Guide
A proven, phase-by-phase framework for migrating your legacy EDW, Data Lake, and ETL pipelines to Informatica Migration Guide faster and with full confidence.
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What Next Pathway's Informatica Migration Guide covers
A successful Informatica migration requires a structured, phase by phase approach across discovery, code translation, validation, and cutover. Next Pathway's Informatica Migration Guide gives your team a complete roadmap, built on the same automation Next Pathway uses to deliver enterprise migrations end to end.
Map Informatica Lineage and Data Flows
Identify Informatica pipelines feeding your EDW and data lake environments and uncover source to target data flows across the enterprise. Build visibility into dependencies, pipeline inventory, and downstream systems before migration begins. This phase helps enterprises define migration scope and reduce operational risk.
Translate Informatica ETLs for the Cloud
Automate the translation of Informatica ETL code, embedded SQL, XML objects, connectors, and orchestration logic to run natively on cloud platforms. SHIFT Cloud supports both repointing legacy pipelines and rewriting workloads into cloud native frameworks. This phase reduces manual redevelopment effort and accelerates migration execution.
Validate and Cut Over Cloud Ready Pipelines
Test translated Informatica ETL code before production cutover to ensure workloads execute correctly in the cloud environment. Automate code validation and data testing to confirm expected results across migrated pipelines. This phase helps teams complete migration testing faster and move to production 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:
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Accelerate your migration to the cloud with SHIFT. Learn how to modernize your legacy data warehouse with 95%+ automation.
What Industry Analysts Say
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ENDERLE GROUP
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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.
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