Cloud migration is now a necessity for retailers facing growing data demands and rapidly changing business environments. As legacy enterprise data warehouses and complex ETL ecosystems reach the end of their useful life, organizations must find ways to untangle years of “spaghetti” integrations and move to agile, cloud-native platforms.
A recent migration by a leading North American retailer demonstrates how automation and strategic planning can turn this complexity into a competitive advantage.
Retailers rely on fast, reliable access to data for everything from inventory optimization to customer personalization. However, legacy EDWs and tightly coupled ETL processes often become barriers to innovation. In this case, the retailer’s Teradata EDW was surrounded by more than 7,000 legacy ETL jobs across Informatica PowerCenter and IBM DataStage. Each job represented a potential obstacle to cloud adoption.
Manual migration of thousands of ETL jobs is not only time-consuming but also risky. Next Pathway utilized its AI-enabled SHIFT® Cloud to translate and migrate all 7,200 legacy ETL jobs to Snowflake in just 120 days, achieving over 50 percent time savings compared to manual methods. This approach eliminated guesswork, accelerated timelines, and ensured a seamless cutover to the new platform.
Drawing on deep migration experience, our team provided hands-on expertise at every stage. Platform compatibility issues were resolved, parameter files configured, and technical guidance delivered based on proven best practices. We also implemented SnowSQL for Informatica Command Link Tasks and worked closely with the client’s IT team to ensure a smooth and successful deployment into production.
By embracing automation, the company met their cutover deadline and now operate on a modern, scalable data foundation ready for future growth. As the pace of change accelerates, retailers that act decisively and invest in both the right technology and the right partners will lead the way in digital transformation.
Next Pathway is an enterprise AI company specializing in automated code migration and cloud modernization. Its agentic AI platform, powered by proprietary small language models, takes any legacy codebase through the full migration lifecycle: analyzing existing code, planning modernization, executing conversion, validating outputs, and deploying to a modern cloud environment with minimal human intervention. The result is a portfolio of AI-enabled, governed data products enriched with semantic context, giving enterprises a faster, lower-risk path from legacy systems to the cloud.