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Hospitality Company Modernizes Informatica Workflows to Snowflake

A strategic transformation from legacy Informatica workflows to Snowflake, creating a modern, cloud-native foundation for hospitality analytics.

Hospitality Company Modernizes Informatica Workflows to Snowflake
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What Next Pathway's Leading Fintech Provider Case Study covers

A Leading Fintech Provider migrated Informatica PowerCenter and Netezza to IDMC and Snowflake. Next Pathway’s automation platform delivered migration of 11,000 Netezza objects, modernization of 8,000 Informatica PowerCenter objects, and project completion within 6 months.

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Accelerated Large Scale Migration

Next Pathway automated the migration of Informatica PowerCenter and Netezza workloads to IDMC and Snowflake. The approach reduced manual effort, improved migration precision, and enabled delivery within an aggressive six month timeline without business disruption.

Modernized ETL and Mainframe Processing

SHIFT Cloud automated the translation of legacy ETL and SQL logic while PowerExchange integration enabled VSAM file processing within IDMC. More than 250 new maps were built to replace COBOL dependencies and support cloud modernization.

Improved Scalability and Analytics Performance

The migration included a move from ETL to ELT architecture on Snowflake, enabling advanced parallel processing and faster data transformations. The modernization improved scalability, analytics flexibility, data accuracy, and infrastructure efficiency through cloud native operations.

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

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."
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

Informatica Workflows to Snowflake
Informatica Workflows to Snowflake

Hospitality Company Modernizes Informatica Workflows to Snowflake.

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Legacy Teradata to Snowflake Cloud Migration
Legacy Teradata to Snowflake Cloud Migration
National Retailer Moves from Teradata to Snowflake.
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