What does structured data and unstructured data mean?

The structured data, unstructured data, and semi-structured data mentioned in this article are a data type analysis of the storage form, which helps the enterprise to segment the industry case and help the storage partners to better solve the application implementation plan.

Structured data, in simple terms, is a database. It is easier to understand in a typical scenario, such as Enterprise ERP, financial system, medical his database, education card, government administrative examination and approval, other core database, etc. What storage scenarios are needed for these applications? Basically, it includes high speed storage application requirements, data backup requirements, data sharing requirements and data disaster recovery requirements.

Unstructured data, including video, audio, pictures, images, documents, text, and so on. Specific cases, such as medical imaging systems, educational video on demand, video surveillance, land GIS, design Institute, File Server (PDM/FTP), Media resource management, and other specific applications, these industries for storage requirements including data storage, data backup and data sharing.

Semi-structured data, including mail, HTML, reports, resource libraries, and so on, typical scenarios such as mail systems, Web clusters, teaching resources, data mining systems, archival systems and so on. These applications are for basic storage requirements such as data storage, data backup, data sharing, and data archiving.