Structures Query Language is the abbreviation of SQL. To access and manipulate the databases, we use SQL. In 1986, the American National Standards Institute (ANSI) made SQL the standard. In 1987, the International organization for standardization (ISO) made SQL as the standard. SQL can perform the following functions:
Queries can be executed against the database in SQL.
Data can be retrieved from the database using SQL.
Records can be inserted into a database using SQL.
Records can be updated into a database using SQL.
Records can be deleted from a database using SQL.
Finally, new databases can be created using SQL.
The necessity to Learn SQL
The three main reasons to study SQL are:
Everywhere we use SQL
All the biggest technology companies like Uber, Netflix, Airbnb, etc., use SQL. Companies with in-built high-performance database systems, like Amazon, Google, Facebook, etc., also use SQL to do analysis. SQL is found everywhere though it is old. SQL is used in everything, or a derivative of SQL is used in everything.
The demand for SQL is high.
The first job in data will require SQL for entry-level jobs. In the majority of the ads for jobs, SQL is mentioned more than Python and R. Yes, learning SQL is necessary to be qualified for jobs. It sets us apart from other people who only concentrate on trending technologies.
SQL is not a dying language
SQL is a language of choice for data engineers and data scientists. Among other popular technologies like NoSQL, Hadoop, etc. SQL is still one of the important languages not only in the field of data but also in the area of development.
Applications of SQL
The applications of SQL are:
Scripts for data integration
The database administrators and developers use SQL to write data integration scripts.
The setting up and running of analytical queries can be done using structured query language by data analysts.
The subsets of information from a database for analytical applications and transaction processing can be retrieved using a structured query language. Select, update, create, insert, alter, delete, add, etc., are the most commonly used structured query language elements.
Other important applications
The index structures and database tables can be modified using a structured query language. By using this language, the users can add, update, and modify data in the database.
Consider we have a table called “Customers” table consisting of information like customer ID, customer name, Contact name, address, city, postal code, and country. The below SQL query retrieves all the information from the customer table:
SELECT * FROM Customers;
Prerequisites to Learn SQL
There are no prerequisites as such to learn SQL. However, basic knowledge of relational database management systems is helpful.
Beginners can refer to this tutorial to understand SQL basics. This tutorial is helpful for people who want to pursue a career in the field of SQL. Finally, this tutorial is good learning for all other readers.