Data Mesh Architecture for Decentralized ML Data Management

As machine learning operations scale across enterprise organizations, traditional centralized data architectures are hitting significant bottlenecks. The monolithic data lake approach, once considered the gold standard for analytics and ML workloads, is struggling to keep pace with the distributed nature of modern ML teams and their diverse data requirements. Enter Data Mesh Architecture for Decentralized … Read more