SQL Full Form

What is the Full form of SQL?

The full form of SQL is Structured Query Language. SQL is a program created and formulated in the Relational Database Management System to handle structured data. It was initially named a SEQUEL(Structured English Query Language developed addition) modifying or removing data from inside the database. Eventually, the name changed to SQL.

History of SQL

  • SQL developed from the beginning based on Relational Algebra and Tuple Relational Calculus.
  • In the initial 1970s, Donald D. Chamberlin and Raymond F. Boyce at IBM developed and produced SQL.
  • It was designed to run and retrieve information contained in IBM’s actual quasi-relational database management system.

SQL Applications

  • In gathering details. And operating on analytical queries
  • In composing the Scripts for Data Integration
  • Modifying the database table & mark designs.

Benefits of SQL

  • There is no necessity to use the standard SQL to write a significant amount of code and that makes it easy to manage data structures.
  • SQL databases that are used by ISO & ANSI use guidelines that are well described and long-established. NoSQL databases have no standards.
  • SQL can be found in operating systems, laptops, servers and even a few smartphones inside the software.
  • SQL is an interactive domain language which can be used to share or exchange information with the databases, and to address the complex questions in seconds.
  • The SQL language helps users create multiple views of the structure of the database as well as the databases for various individuals.

Limitations of SQL

  • SQL has a complex interface which makes it difficult for some people to access.
  • In SQL, the programmers using SQL do not have full command over the database due to the invisible business rules.
  • Many of the databases change from proprietary enhancements to standard SQL to guarantee vendor lock-in.
  • The operating costs of some models of SQL are so high that some programmers have trouble accessing it.
  • The operational costs of some models of SQL are so high that some programmers have difficulty accessing it.

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