DESIGNING SCALABLE & INTEROPERABLE DATA PRODUCTS: AN API-DRIVEN FRAMEWORK FOR SEAMLESS CONSUMPTION & METADATA STANDARDIZATION

As organizations continue to manage extensive data systems, they depend more on distributed architectures to enhance decision-making capabilities. The achievement of complete interoperability and scalable operations remains problematic because of multiple factors including data format variations along with transport protocol and governance structure differences. This paper investigates how modern enterprises can benefit from API technology to achieve seamless data exchange while it examines the importance of data interoperability and scalability. This paper showcases how metadata standardization helps to ensure data product governance while also guaranteeing both consistency and discoverability. A full framework is suggested which unites API-driven data consumption with metadata management to improve data accessibility and scalability while ensuring proper governance. Practical advantages of this approach are supported through empirical analysis which includes case studies across finance, healthcare and retail sectors. Performance evaluations confirm the effectiveness of API-based data access by showing better response times along with reduced resource utilization and enhanced scalability. Organizational implementation suggestions based on the research results are provided to build scalable data ecosystem solutions with interoperability features.