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A leading US health insurance provider modernized its legacy data ecosystem by migrating from IBM DB2 and DataStage to Azure SQL, Azure Data Factory, and Databricks. Using Next Pathway’s automation platform, the organization accelerated modernization, improved scalability, and established a cloud-native foundation for advanced analytics and AI.
Next Pathway transformed a complex environment spanning legacy databases, ETL processes, scripting frameworks, and scheduling tools into a modern Azure-based architecture, reducing complexity and improving operational efficiency.
Through automation and engineering-led modernization, the team migrated legacy workloads, streamlined data pipelines, and accelerated delivery while maintaining data integrity and minimizing business disruption.
The modern cloud platform enhanced data accessibility, improved analytics performance, and created a scalable foundation to support future AI, reporting, and digital transformation initiatives.
Lines of code translated automatically
Enterprise modernizations completed
Faster time-to-market for AI-ready infrastructure
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:
Modernize your data warehouse with Snowflake. Learn how SHIFT automated over 100% of code and data migration, reducing complexity and speeding time to value.
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ENDERLE GROUP
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THE BLOOR GROUP
Global Financial Firm Modernizes with Snowflake Migration.
Thinking beyond migration?
We help you modernize your data platform, end to end.
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