This case study explores a mid-size transportation company’s migration from Hadoop to Azure Synapse Analytics and Databricks Delta Lake. It highlights the transition’s benefits, including enhanced scalability, cost efficiency, and advanced analytics capabilities, enabling streamlined data integration and real-time insights for improved operational decision-making.

A large pharmaceutical company successfully migrated its IBM DB2 mainframe to Databricks, leveraging automated tools for ETL job translation and architecture validation. This migration optimized data workloads, reduced costs, and enabled advanced analytics on a unified platform, completed within six months for enhanced scalability and innovation.

A leading retailer successfully migrated its legacy Netezza data warehouse to Snowflake, enhancing scalability and performance. The migration involved translating complex SQL, repointing ETL pipelines, and optimizing business logic, ensuring seamless data integration and improved analytics capabilities.

A global industrial equipment manufacturer successfully migrated from Teradata to Snowflake, leveraging cloud-native scalability and performance. The transition addressed limitations in data accessibility, scalability, and costs while enabling advanced analytics and streamlined operations. Using modern tools like dbt and HVR, the migration was completed on time and within budget