Structured, semi-structured, and unstructured data

Structured, semi-structured, and unstructured data
In practical applications, we will encounter a variety of databases, such as nosql non-relational databases (memcached, redis, mangodb) and RDBMS Relational databases (oracle, mysql, etc ), there are also some other databases, such as hbase, in which structured data, unstructured data, and semi-structured data will appear. The following lists various data types:
Structured Data: It can be represented by data or a unified structure. It is called structured data, such as numbers and symbols. Traditional relational data models and row data are stored in databases and can be expressed in a two-dimensional table structure.
Semi-structured data: the so-called semi-structured data is completely structured data (such as data in relational databases and object-oriented databases) and completely unstructured data (such as sound and image files) XML and HTML documents are semi-structured data. It is generally self-describing, and the data structure and content are mixed together without obvious distinction.
Unstructured data: A unstructured database is a database with variable field lengths and records of each field can be composed of repeated or non-repeated child fields, it not only can process structured data (such as numbers and symbols), but also is more suitable for processing unstructured data (such as full text, images, sound, film and television, and hypermedia ). Unstructured data, including all formats of office documents, text, images, XML, HTML, various reports, images and audio/video information, etc.

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