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.
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.
1 Billion+
Lines of code translated automatically
160+
Enterprise modernizations completed
80%
Faster time-to-market for AI-ready infrastructure
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See how a leading primary care provider migrated 500 SSIS packages to IICS in just 9 months using automated code translation.
What Industry Analysts Say
Rob Enderle
ENDERLE GROUP
Eric Kavanagh
THE BLOOR GROUP
What a structured Amazon Redshift migration covers
A successful migration to Amazon Redshift requires a clear plan across four disciplines.
Discovery and dependency mapping
Every database object, ETL pipeline, stored procedure, and data dependency needs to be identified and documented before migration begins. Hidden dependencies discovered mid-migration can create delays and risk.
Code translation and modernization
Legacy SQL, stored procedures, and ETL workloads must be converted into optimized, Redshift-compatible workloads. Automated code translation reduces manual rework and improves migration coverage.
Validation and functional parity
Every migrated workload must be validated against the legacy source to confirm data accuracy, performance, and functional equivalence before cutover. Full parity is essential for a successful migration.
Production cutover planning
Cutover requires a defined plan covering resource allocation, deployment sequencing, rollback decisions, and business sign-off. Teams that plan cutover from the start can move to production faster and with greater confidence.
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