👉 Catalog computing is a method for organizing and managing large, complex datasets by structuring them into interconnected "catalogs," which are essentially databases of metadata or data objects. Each catalog represents a distinct domain or aspect of the data, such as users, devices, transactions, or content. These catalogs are linked through relationships and dependencies, allowing for a flexible, hierarchical, and scalable data model. This approach enables efficient querying, integration, and management of diverse data sources, facilitating interoperability and data reuse across various applications and systems. By abstracting data into catalogs, organizations can better handle the complexity and volume of modern data environments, supporting advanced analytics, machine learning, and real-time decision-making processes.
