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Software, mobile applications, websites, etc. work with data that needs to be stored somewhere. Databases are usually used to do this. How can a programme 'talk' to the data? In most cases, this intermediary is a special programming language called SQL.
For example, you have a web application written in PHP or Python and a database. To connect the application and the database, you need a language that understands both the first and the second part of the project. Such a language is SQL. In it, you write commands that, when executed, retrieve records from the database, add new data to the database, or perform other manipulations. And the commands are written in the same way for PHP, Python and other programming languages.
For example, you have a web application written in PHP or Python and a database. To connect the application and the database, you need a language that understands both the first and the second part of the project. Such a language is SQL. In it, you write commands that, when executed, retrieve records from the database, add new data to the database, or perform other manipulations. And the commands are written in the same way for PHP, Python and other programming languages.
SQL. Simple and efficient
A language with deep roots
SQL, or Structured Query Language, is a structured query language used to work with databases. The language first appeared in the 1970s and was standardised and improved until 2003. Its authors are IBM researchers Raymond Boyce and Donald Chamberlin. To this day, SQL remains a very popular and sought-after language. SQL used to be called SEQUEL (Structured English Query Language), so many experts still use this abbreviation.
SQL is a very simple language in its structure, so it is not difficult to learn. SQL is first and foremost a query language. It is also very similar to the English language. Unlike many programming languages, SQL is easy for beginners to read and understand.
SQL, or Structured Query Language, is a structured query language used to work with databases. The language first appeared in the 1970s and was standardised and improved until 2003. Its authors are IBM researchers Raymond Boyce and Donald Chamberlin. To this day, SQL remains a very popular and sought-after language. SQL used to be called SEQUEL (Structured English Query Language), so many experts still use this abbreviation.
SQL is a very simple language in its structure, so it is not difficult to learn. SQL is first and foremost a query language. It is also very similar to the English language. Unlike many programming languages, SQL is easy for beginners to read and understand.
Tables only
You cannot write a program or a web page in this language. Its function is to formulate database queries and, based on them, to perform various manipulations within the database. SQL statements can be used to store, update, delete, search and retrieve information from a database. SQL can also be used to maintain and optimise database performance. The SQL language is used in almost every programme and website where database manipulation takes place. Whenever you need to read or write information in a database, you need to formulate a valid query. Such a query must be expressed in SQL terms. However, not all databases can understand the SQL language. Such databases are called NoSQL databases. They refer to non-relational databases that do not use tables.
SQL queries are used for relational databases. Otherwise, these databases are called tabular databases. All the data in them is represented in the form of different tables that are linked together. Relational database management systems (RDBMS) use structured query language to store and manage data. RDBMS helps to create new tables, delete and replace incorrect information, set up keys and process queries. MS SQL Server, MySQL or MS Access are examples of relational database management systems. Because the data in the database is organised and presented in the form of tables, it is easy to access and find the information you need. The SQL language expresses all the actions that can be performed on data: from writing and reading data to managing the database management system server itself.
The language is universal and has a well-defined structure based on established standards. Interaction with databases is fast, even in situations where data volumes are very large (big data). In addition, efficient administration is possible without special knowledge of programming.
The key benefits of SQL:
You cannot write a program or a web page in this language. Its function is to formulate database queries and, based on them, to perform various manipulations within the database. SQL statements can be used to store, update, delete, search and retrieve information from a database. SQL can also be used to maintain and optimise database performance. The SQL language is used in almost every programme and website where database manipulation takes place. Whenever you need to read or write information in a database, you need to formulate a valid query. Such a query must be expressed in SQL terms. However, not all databases can understand the SQL language. Such databases are called NoSQL databases. They refer to non-relational databases that do not use tables.
SQL queries are used for relational databases. Otherwise, these databases are called tabular databases. All the data in them is represented in the form of different tables that are linked together. Relational database management systems (RDBMS) use structured query language to store and manage data. RDBMS helps to create new tables, delete and replace incorrect information, set up keys and process queries. MS SQL Server, MySQL or MS Access are examples of relational database management systems. Because the data in the database is organised and presented in the form of tables, it is easy to access and find the information you need. The SQL language expresses all the actions that can be performed on data: from writing and reading data to managing the database management system server itself.
The language is universal and has a well-defined structure based on established standards. Interaction with databases is fast, even in situations where data volumes are very large (big data). In addition, efficient administration is possible without special knowledge of programming.
The key benefits of SQL:
- Accuracy. You can avoid storing redundant data;
- Flexibility. Even the most complex queries are easy to execute;
- Scalability. A large number of users can work with one database;
- Security. Only certain users can access data in tables.
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