Data Virtualization

Correct Answer: Real-time access to data

One of the primary advantages of using Data Virtualization is the ability to gain real-time access to data from disparate sources without having to physically integrate the data. This enables faster decision-making and more efficient use of data.

Correct Answer: The main challenge of performing Data Virtualization on unstructured data is that unstructured data often lacks the metadata required for effective virtualization

The main challenge of performing Data Virtualization on unstructured data is the lack of metadata. Unstructured data is often composed of files or documents that may lack the underlying structure of a relational database, and thus may not have the metadata required for effective virtualization. This can be overcome by using advanced techniques like machine learning to automatically classify and tag unstructured data.

Correct Answer: Data Integration

Data integration refers to the process of combining data from different sources into a physical integrated view. This is different from data federation, which involves combining data from different sources into a virtualized view without physically integrating the data.