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The Structured Query Language popularly known by its acronym in English as SQL is a type of programming language that helps solve specific problems or problems related to the definition, manipulation, and integrity of the information represented by the data.

Some aspects of SQL work on relational calculus, some on relational algebra that come from the relational model and others on neither of the two but is part of SQL.

How does SQL achieve an increase in efficiency and productivity?

Given its strong connection to relational model theory, SQL is a high-level, recordset-oriented language. It means that a single SQL command can amount to tens or hundreds of lines of code that would have to be used in a lower-level, record-oriented language.

As a result of the above, SQL allows the definition and manipulation of database objects to be achieved more quickly and easily, thus allowing greater efficiency and productivity in development.

It is the subject of much debate in forums that question whether SQL is a structured programming language. Actually, it is a language like any other, the difference is in its specific purpose: the exclusive work with databases, where without a doubt it has been the main reference for more than 30 years.

SQL Features

Since SQL offers an implementation for relational database systems, it is to be expected that it will have characteristics similar to those mentioned for the relational model.

For data storage and manipulation operations, the relational model establishes the use of relation and relation variable; meanwhile SQL makes use of tables as a fundamental element.

To explain the table concept, I will place an excerpt from Styde’s book: Learn SQL with MySQL and MariaDB.

“Tables are the most important element within a database as they are used to store data persistently or permanently. A table resembles a spreadsheet.

Like these, tables are made up of rows and columns. Each of the columns are called fields in the table, and each of the rows are known as records.

Each field can contain data types such as: text, numbers, graphics, etc. The set of values ​​that make up a data type is known as a domain. Example: “the domain of all positive integers.”

Each record contains data of the same type as the other records. Example: In a table of names and addresses, each row will have a name and an address.

Thus, a record is made up of values ​​for each field it contains.

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