What types of data are typically handled in cloud databases?

Cloud databases are designed to handle a wide variety of data types, which is why the inclusion of structured, semi-structured, and unstructured data is key to understanding their functionality and versatility.

Structured data refers to highly organized information that is easily searchable in relational databases, such as data in tables with defined fields. Semi-structured data includes elements that do not conform to a rigid structure, such as JSON or XML formats, which have identifiable tags but also contain hierarchical relationships that may change. Unstructured data, on the other hand, encompasses information without a predefined format, like text documents, images, and videos, which are challenging to categorize and analyze using traditional database methods.

This capability to manage diverse data types is essential in today's digital landscape, where businesses require insights from various sources to make informed decisions. It allows organizations to leverage cloud databases for comprehensive analytics and data management, making them adaptable to a range of applications and industries.

While other choices may touch on specific data types or sources, they do not capture the full spectrum of what cloud databases can efficiently manage, thus limiting their functional understanding.