Structured, semi-structured, and unstructured data

Source: Internet
Author: User

in practical applications, we encounter a wide variety of databases such as NoSQL non-relational databases (MEMCACHED,REDIS,MANGODB), RDBMS relational databases (Oracle,mysql, etc.), There are other databases such as HBase, in which there are structured data, unstructured data, semi-structured data, and various data types listed below:
structured data:can be represented by data or a uniform structure, which we call structured data, such as numbers, symbols. Traditional relational data model, row data, stored in the database, can be represented by a two-dimensional table structure.
semi-structured data: the so-called semi-structured data is the data between fully structured data (such as relational databases, data in object-oriented databases) and completely unstructured data (such as sound, image files, etc.), and XML, HTML documents are semi-structured data. It is generally self-describing, the structure and content of the data mixed together, there is no obvious distinction.
unstructured data:unstructured database refers to a database whose field length is variable, and that each field's record can be made up of repeatable or non-repeatable sub-fields, which not only can handle structured data (such as numbers, symbols, etc.) and is more suitable for processing unstructured data (full text, images, sounds , film and television, Hypermedia and other information). unstructured data, including Office documents, text, images, XML, HTML, various reports, images and audio/video information in all formats, and more

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Structured, semi-structured, and unstructured data

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