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Insurance Company Migrates their SSIS Data Warehouse to Azure Data Factory on Snowflake

Insurance Company Migrates their SSIS Data Warehouse to Azure Data Factory on Snowflake

Insurance company migrates their SSIS Data Warehouse to Azure Data Factory on Snowflake (1)
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What Next Pathway's Insurance Company Case Study covers

An Insurance Company migrated its SSIS Data Warehouse to Azure Data Factory on Snowflake in just 6 months. Next Pathway’s automation platform parsed 1,000 SSIS packages and 3,500 SSIS jobs, automated complex code translation requirements, and enabled the retirement of legacy SQL Server systems.

From Legacy Complexity to Business Outcomes

Large Scale SSIS Migration

Next Pathway used its CRAWLER360 migration planning tool to analyze approximately 1,000 SSIS packages and 3,500 SSIS jobs. The platform captured lineage metadata, job dependencies, ingestion modes, and table level information to accelerate migration planning and wave based code translation.

Automated Translation for Complex Workloads

The migration included SSIS jobs with Visual Basic scripts, proprietary security hashing algorithms, camel case mismatches, and multi lookup conditions. Next Pathway delivered automated translation solutions for these complex use cases and migrated ETL workloads to Azure Data Factory using SHIFT Cloud.

Cloud Modernization and Legacy Retirement

Next Pathway delivered all translated and unit tested code within 6 months, including deployment and integration support for Azure Data Factory and Snowflake. The successful migration enabled the client to retire legacy SQL Server systems and modernize its enterprise data warehouse in the cloud.

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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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