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CRAWLER360 Accelerating Netezza to AWS Migration Planning for Global Investment Firm

A data-driven migration planning initiative that used CRAWLER360 to assess Netezza workloads and streamline AWS migration readiness.

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What Next Pathway's Global Investment Firm Case Study covers

A Global Investment Firm migrated Netezza to AWS Migration Planning with CRAWLER360 in just 6 weeks. Next Pathway’s automation platform delivered comprehensive environment scanning, end to end data lineage traceability, and a customized AWS migration strategy with cost and resource projections.

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Comprehensive Environment Discovery

CRAWLER360 scanned the Netezza EDW environment, Informatica ETL pipelines, and enterprise scheduler jobs impacting Netezza. The platform also identified dependencies and connection points across Oracle, DB2, and related systems to support accurate migration planning.

End to End Data Lineage and Traceability

Next Pathway delivered a comprehensive traceability matrix mapping data lineage from enterprise schedulers through Informatica ETL jobs to Netezza source and target tables. Additional business metadata and parameter values improved lineage visibility and migration analysis.

Customized AWS Migration Strategy

Next Pathway produced a customized migration plan for all in scope objects moving to AWS. The plan included target architecture considerations, optimization opportunities, timing estimates, resource allocation, cost projections, and migration recommendations for Amazon Redshift and AWS Glue.

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1 Billion+

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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
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What Industry Analysts Say

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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."
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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.

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