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Investment Firm migrates from Netezza & Informatica
to Amazon Redshift

Investment Firm migrates from Netezza & Informatica to Amazon Redshift

Investment Firm migrates from Netezza & Informatica to Amazon Redshift
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What Next Pathway's Investment Firm Case Study covers

An Investment Firm migrated Netezza and Informatica to Amazon Redshift in just 6 weeks. Next Pathway’s automation platform analyzed Netezza and Informatica dependencies, delivered a customized end to end AWS migration strategy, and provided data lineage visibility across enterprise ETL and scheduler environments.

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AWS Migration Strategy for Netezza and Informatica

Next Pathway helped the investment management firm plan its migration from a legacy Netezza enterprise data warehouse and Informatica ETL environment to an AWS native cloud architecture. The engagement addressed migration risk associated with the approaching Netezza contract end date and the complexity of the existing environment.

Automated Dependency and Lineage Analysis

Using the Crawler360 migration planning tool, Next Pathway scanned Netezza database objects, Informatica ETL pipelines, and enterprise scheduler jobs impacting the EDW environment. The analysis identified dependencies, consolidation opportunities, external connection points including Oracle and DB2, and enhanced lineage tracking using business metadata and application IDs.

Customized AWS Migration Roadmap

Next Pathway delivered a customized UI portal, detailed traceability matrix, and a complete end to end migration plan for AWS. Within 6 weeks, the company received migration recommendations for moving business owned workloads from Netezza and Informatica ETL pipelines to 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

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.

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