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Netezza to Snowflake Cloud Migration
Checklist

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

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What Next Pathway's Netezza to Snowflake Cloud Migration Checklist covers

A successful Snowflake migration requires a structured, phase-by-phase approach across discovery, code translation, validation, and cutover. Next Pathway's Netezza to Snowflake Cloud Migration Checklist provides a practical roadmap for assessing legacy Netezza environments, automating database translation, and validating migrated workloads using CRAWLER360, SHIFT, and TESTER.

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Assessment & Discovery

Identify database objects, ETL pipelines, data flows, and application dependencies that must be migrated to Snowflake. The checklist highlights how CRAWLER360 helps uncover lineage, dependencies, and compatibility considerations to streamline migration planning and workload prioritization.

Database Migration & Code Translation

Translate legacy DDLs, views, stored procedures, and scripts to Snowflake using SHIFT automation. This phase also focuses on resolving unsupported functions, validating translated objects, and prioritizing workloads to accelerate migration execution and testing.

Acceptance Testing & Cutover Readiness

Validate migrated workloads through automated testing, historical data validation, and issue remediation workflows. The checklist emphasizes using TESTER to generate test cases, improve migration accuracy, and support a smooth production cutover to Snowflake.

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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
British Asset Management Firm Migrates from Azure Synapse and Azure Data Factory to_Cover

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 Snowflake migration covers

A successful migration to Snowflake requires a clear plan across four disciplines.

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, stored procedures, and ETL pipelines must be converted into optimized, Snowflake-native workloads. Automated translation eliminates manual rework and ensures full coverage.

Validation and functional parity

Every migrated workload must be validated against the legacy source to confirm data accuracy and functional equivalence before cutover. 100% parity is not optional.

Production cutover planning

Cutover requires a defined plan covering resource allocation, rollback decisions, and business sign-off. Teams that plan cutover from the start move faster and with greater confidence.

Latest Insights on Modernization

Cloud Migration Resources

Azure Data Migration Checklist
Azure Data Migration Checklist

A step-by-step checklist for enterprises to ensure a smooth migration to Azure Synapse.

READ CASE STUDY

→
Oracle to Azure Synapse Analytics Cloud Migration Checklist
Oracle to Azure Synapse Analytics Cloud Migration Checklist

Fully plan, translate & cut-over to Azure Synapse quickly.

READ CASE STUDY

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Google BigQuery Migration Guide
Google BigQuery Migration Guide

Migrate your legacy system to Google BigQuery, effectively.

READ CASE STUDY

→

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