Oracle and Informatica to Snowflake Migration Success Through Automation

 


From Legacy to Cloud

A leading national insurer needed to move away from costly, inflexible Oracle databases and Informatica ETL workflows. They knew Snowflake could deliver the scalability, flexibility, and performance they required—but the challenge was migrating quickly and accurately.

The Role of Automation

With Next Pathway’s SHIFT Cloud, the company avoided manual rewrites by automatically converting legacy SQL and ETL logic to Snowflake-compatible code. The result was a streamlined migration process that maintained business continuity throughout.

Outcomes That Matter

The migration was completed in a fraction of the time, with improved accuracy and reduced costs. Today, the insurer operates in a modern, cloud-native environment, leveraging Snowflake’s capabilities for faster insights and innovation.

💡 Want to see how automation changed the game? Read the full case study here and learn the exact steps taken.

Location: United States

Comments

Post a Comment

Popular posts from this blog

How an Insurance Company Migrated SSIS to Azure Data Factory with Snowflake

  Modernizing legacy data systems is critical for insurance companies aiming to stay competitive. A leading U.S.-based property and casualty insurer successfully migrated its SSIS data warehouse to Azure Data Factory, leveraging Snowflake to transform its data platform into a scalable, cloud-native solution. This successful SSIS to Azure Data Factory Migration is a prime example of modernization in action. The insurer’s on-premise SSIS environment had become increasingly difficult to maintain and scale due to complex ETL workflows and custom-built logic. To address these challenges, they partnered with Next Pathway , utilizing tools like CRAWLER360 to analyze dependencies and SHIFT Cloud to automate the conversion of SSIS workflows into Azure Data Factory pipelines. Azure Data Factory for Insurance Companies like this one offers a robust solution for scalable data integration. Snowflake’s advanced cloud architecture provided the performance and scalability needed for future grow...
Read more

Teradata to Snowflake Migration Case Study – A Real-World Transformation

Image
  In this Teradata to Snowflake migration case study , we highlight how a leading enterprise modernized its data platform to drive innovation and operational excellence. For years, the company relied on Teradata’s on-premises infrastructure, which became increasingly complex and costly. With business demands rapidly changing, the shift to Snowflake became a strategic necessity. With Next Pathway guiding the migration journey, the company transitioned its data assets without risking business continuity. The outcome was impressive—better performance, reduced costs, and access to modern cloud analytics. This case study is proof that businesses can achieve smoother cloud transformations with the right strategy. 📘 Explore the Teradata to Snowflake migration case study » 🔗 Learn more at Next Pathway
Read more

Snowflake Case Study – Unlocking Agility Through Cloud Data Migration

Image
  In today’s digital era, businesses are shifting away from legacy platforms in pursuit of speed, scale, and flexibility. A recent Snowflake data migration case study demonstrates how one enterprise successfully modernized its data environment to align with these goals. The company had been relying on traditional ETL tools and on-premises data warehouses, which limited performance and scalability. With growing demands from analytics and AI teams, they needed a modern data architecture—and Snowflake was the ideal choice. Enter Next Pathway , the strategic partner that guided this transformation. Their expertise in cloud migration enabled a seamless transition from legacy systems to Snowflake’s data cloud—without disrupting business operations. The migration was completed on time, with significant improvements in query performance, cost savings, and scalability. This case study reinforces the importance of experienced guidance in ensuring a successful data modernization journey. ...
Read more