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Hospitality Company Modernizes Informatica Workflows to Snowflake

Hospitality Company Modernizes Informatica Workflows to Snowflake

Hospitality Company Modernizes Informatica Workflows to Snowflake (1)
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What Next Pathway's Hospitality Company Case Study covers

A Hospitality Company migrated Informatica Workflows to Snowflake in just 4 weeks. Next Pathway’s automation platform translated Informatica workflows into Snowflake SQL and Python, achieved 33% faster migration acceleration versus manual estimates, and enabled a scalable cloud native ELT architecture.

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Accelerated Informatica to Snowflake Migration

Next Pathway used SHIFT Cloud technology to translate Informatica PowerCenter workflows into Snowflake SQL and Python with minimal manual effort. The project included a 4 week pilot covering 5 complex Informatica workflows to validate migration speed, quality, and feasibility.

Cloud Native ELT Modernization

The migration shifted the company from legacy ETL processing to a modern ELT architecture leveraging Snowflake’s native processing engine. This modernization improved scalability, reduced infrastructure costs, and supported the company’s broader digital transformation strategy.

Improved Performance and Operational Agility

Next Pathway leveraged automated QA and optimization tools to resolve data type issues, improve translated code performance, and ensure data consistency. The new Snowflake environment enabled real time customer insights while empowering internal teams to manage and optimize the platform confidently.

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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
Snowflake Modernization Guide

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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