What term describes a holistic view of data entities across multiple underlying source systems?

The term that best describes a holistic view of data entities across multiple underlying source systems is "Unified Data Model." This concept refers to a structured framework that allows for the integration of various data sources into a cohesive representation. A unified data model helps to standardize how data entities from different systems are represented, thus enabling comprehensive analysis and insights.

Having a unified data model is crucial for organizations that rely on information from disparate systems, as it eliminates data silos and ensures consistency in how data is understood and utilized across the organization. It facilitates improved data governance, better decision-making, and streamlined operations by providing a comprehensive and consistent view of data.

While the other terms may involve aspects related to data management, they do not encapsulate the breadth and integrative nature of capturing a holistic view across multiple systems. For example, data integration specifically focuses on bringing together data from different sources but does not highlight the comprehensive representational aspect that a unified data model provides. Similarly, data aggregation emphasizes collecting and summarizing data rather than the holistic view across systems. Lastly, "single view" typically refers to a singular representation of data rather than the broader and more integrated perspective offered by a unified data model.