Summary
This case study outlines Michelin Group's data transformation journey, focusing on their transition from a traditional data lake architecture to a modern lakehouse solution using Dremio. Initially, Michelin faced significant challenges with data accessibility and governance, as their data lake limited user access to technical users and lacked SQL querying capabilities. The absence of standardized data formats further complicated data consumption across various analytical tools. To address these issues, Michelin implemented Dremio, which provided a unified SQL interface, advanced security features, and integration with existing governance tools. The strategy involved creating an infrastructure-as-code approach and organizing data in a user-friendly manner to facilitate self-service analytics. As a result, business users gained improved access to data, enhanced security through row-level controls, and streamlined data product development. The implementation led to significant performance improvements and better metadata management, ultimately democratizing data access across Michelin's global workforce.
