Data storage and management

ML workloads often require data from diverse sources and in various formats, and the sheer volume of data can be substantial, particularly when dealing with unstructured data. To address these requirements, cloud object data storage solutions like Amazon S3 are commonly employed as the underlying storage medium. Conceptually, cloud object storage can be likened to a file storage system that accommodates files of different formats. Moreover, the storage system allows for the organization of files using prefixes, which serve as virtual folders for enhanced object management. It is important to note that these prefixes do not correspond to physical folder structures. The term "object storage" stems from the fact that each file is treated as an independent object, bundled with metadata and assigned a unique identifier. Object storage boasts features such as virtually unlimited storage capacity, robust object analytics based on metadata, API-based access...