Zalando, a leading fashion and lifestyle platform in Europe, faced significant challenges in sharing data with its retail partners as its operations grew. The company generated vast amounts of commercial data related to product performance, sales, and pricing, but the existing systems for sharing this data were inefficient and fragmented. Partners accessed data through a mix of methods, including CSV files, APIs, and self-service dashboards, which led to inconsistency and reliability issues. Many partners spent substantial time—equivalent to 1.5 full-time employees each month—just to extract and clean the data instead of focusing on strategic analysis. To improve this situation, Zalando’s Partner Tech division embarked on a multi-year project to rebuild its data-sharing framework. They recognized that partners needed not just raw data but clean, analytical-ready datasets that integrated into their existing tools. The Zalando Engineering Team adopted Delta Sharing, an open protocol for secure data sharing, to create a more streamlined and effective system. This new approach allows for real-time data access while accommodating the varying technical capabilities of their partners, which range from large enterprises with robust analytics infrastructure to smaller retailers relying on simpler solutions. The new framework was designed with specific criteria: it needed to be cloud-agnostic, open, and extensible to work across different technology stacks. It also required strong performance and scalability to handle over 200 datasets, some of which reach hundreds of terabytes. Security was paramount, with features for data encryption and access control, ensuring partners could trust the system with sensitive commercial information. By addressing these challenges, Zalando aims to enhance the way it shares data, ultimately helping its partners make better business decisions.