What type of data is Azure Blob Storage primarily designed to store?

Azure Blob Storage is primarily designed to store unstructured data, which refers to data that does not have a predefined data model or is not organized in a predefined manner. This includes various formats such as text, images, audio, video, and log files. Unstructured data is typically more diverse and variable than structured data, which is organized into databases with specific formats and schemas.

Blob storage provides a cost-effective solution for managing large amounts of unstructured data in the cloud, enabling businesses to store and retrieve data efficiently. It supports different data storage tiers (hot, cool, and archive) to help optimize costs based on how frequently the data is accessed.

The other types of data mentioned in the options—structured data, high-velocity data, and metadata—are better suited for different types of storage solutions within Azure. For example, structured data is often stored in relational databases, while high-velocity data is typically associated with real-time data streams that require specific handling and processing approaches. Metadata refers to data that provides information about other data, and while it can be stored in Azure, the purpose and design of Blob Storage focus primarily on unstructured data storage.