Structured data is a database, which is easier to understand when combined into typical scenarios, such as enterprise ERP and financial systems; medical HIS databases; education cards; government administrative approvals; other core databases, etc.
Structured data
, simply speaking, it is a database. It is easier to understand when combined into typical scenarios, such as enterprise ERP and financial systems; medical HIS databases; education cards; government administrative approvals; other core databases, etc.
Basically include high-speed storage application requirements, data backup requirements, data sharing requirements and data disaster recovery requirements.
Structured data, also called row data, is data logically expressed and implemented by a two-dimensional table structure. It strictly follows data format and length specifications and is mainly stored and managed through relational databases. Opposite to structured data is unstructured data that is not suitable for representation by two-dimensional database tables, including all formats of office documents, XML, HTML, various reports, pictures, audio, and video information, etc. Databases that support unstructured data use multi-valued fields, single fields, and variable-length field mechanisms to create and manage data items, and are widely used in full-text retrieval and various multimedia information processing fields.
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