How to Understand Relational Database Query Languages
A database can have thousands, even millions, of entries and an organization must have numerous databases on a server. The phrase "relational database query languages" refers to how a database and the database management software sort, categorize, organize, search and retrieve data.
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Relational Database
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There are numerous ways to organize data, but relational databases are one of the most efficient. Relational databases organize data using mathematical set theory formulas. In the simplest terms, it organizes data according to relationships within that data. Relationships can be seen as things that different items in the database have in common.
Query Language
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A query language is a language used to request data from a database. For example, if you search a database for customers from Texas, the query language is used to communicate between your search box and the database.
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Efficiency
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Because the database is organized efficiently and the query language is designed to work with relational databases, it can sift through large amounts of data quickly and efficiently. Using the above example if you want to search for customers from Texas who spend more than $100,000 annually, it can do this quickly because it has already created a relationship for customers from Texas. So the query will only search the part of the database containing customers from Texas and not the whole database.
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