Introduction To SQL

To begin with, Structured Query Language (SQL) is a domain-specific language useful in interacting with a database. In addition, it helps to store, manipulate and retrieve the data stored in a database. Given below are some of the common database management systems.

Features Of SQL

SQL consists of multiple commands that help in managing basic operations in the database. In addition, it helps maintain the transactions happening in a database Moreover, this language helps in managing the websites that contain lots of information about users and products. Moreover, this language has various uses and many institutions provide SQL Training in Noida. Given below are some of the features of SQL.

  • DDL (Data Definition Language) – Data definition language is responsible for changing the structure of a table like creating Altering and deleting a table. In addition, these commands save the changes automatically as they are auto-committed.

  • DML (Data Manipulation Language) – These commands help in manipulating the data in the table. However, it doesn’t manipulate the table itself. In addition, these commands are not auto-committed and the changes they make are not permanent.

  • TCL (Transaction Control Language) – These commands are useful in monitoring other commands and their effect on the database. Moreover, they can roll the data back to its original state and declare the changes invalid made by other commands.

  • DQL (Data Query Language) – This command helps in carrying out the data from other tables. In addition, the select command is an example of Data Query Language.

  • Security & Authentication- To begin with, SQL is secure and it makes sure that only a particular detail of the database is visible to the user and the rest of the database remains hidden.

Uses Of SQL

With SQL a website can retrieve and store its data in an organized and safe manner. Above all, this language is compatible with languages such as Microsoft SQL Server, MS Access, Oracle database, MYSQL. Etc. To learn further about the uses and application of this language one can visit SQL Online Training. In addition, SQL is capable of interacting with other scripting languages such as R and Python and therefore is useful for Data scientists. It further helps in machine learning and data analytics. Given below are some of the applications of this language.

  • ATM and other banking systems
  • POS systems in retail
  • Inventory systems
  • Payroll systems
  • Web sites
  • Online Order processing
  • Expense Account systems
  • Telephone Contact Management
  • Accounting
  • Court records
  • Tax document processing
  • School records
  • College Admissions Data Processing
  • Insurance records

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