Structured Query Language (SQL) is a systematized programming language that governs relational databases and performs several operations on the data in them. It is essential in the handling of structured data; that is, data that has connections between variables and individual entities. SQL was developed in the early 1970s by IBM (Amornchewin, 2018) . Today SQL is endorsed by the ISO and the American National Standards Institute (ANSI) as an official standard and is universally accepted in the design of relational databases.
SQL is the most popular choice for database administrators and for data analysts focusing on setting up and running rational queries. This is due to its ease of use and very effective style in which it manipulates, queries data, and performs a broad array of functions. SQL is used in managing and modifying database index and table structures; it is done through updating, adding and deleting strips of data; and reclaiming subsections of data from within a database for operation processing and analytics functions (Azhar et al., 2019) . SQL is used to select, alter database, create a database, create index and tables, insert into, and delete. It helps users access many numerous with one command and also abolishes the need to give instructions when accessing a record.
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SQL is extremely powerful, and like any other well-made development tool, SQL has a few commands, which has made the accessibility of records easier. Any individual with the need to become a good designer should learn SQL.
Example1
The SQL query: SELECT * FROM Students. Tables;
Output: The SQL query is used to retrieve a list of tables from the “Students” database. The SELECT command is used to define the required columns needed in the query output (Nguyen & Hemler, 2017) . The output is saved as a table.
Example 2
Query: SELECT Student_ID FROM STUDENT;
Output: The query above is used to extract the column labeled "Student_ID” from the table "STUDENT."
References
Amornchewin, R. (2018). The Development of SQL Language Skills in Data Definition and Data Manipulation Languages Using Exercises with Quizizz for Students' Learning Engagement. Indonesian Journal of Informatics Education , 2 (2), 83. doi: 10.20961/ijie. v2i2.24430
Nguyen, L., & Hemler, P. (2017). GPU Acceleration for SQL Queries on Large-Scale Distributed Systems. The Journal of Computational Science Education , 8 (1), 20-26. doi: 10.22369/issn.2153-4136/8/1/5
Nor Azhar, A., Nur-Ayuni-Hasna, S., Roslina, A., Fauziah, Z., & Rahmah, M. (2019). Influence of Network Speed on Structured Query Language (SQL) Database Data Transmission Performance in an Internet of Things (IoT) Sensing Device on Single Board Computers (SBC). IOP Conference Series: Materials Science and Engineering , 551 , 012048. doi: 10.1088/1757-899x/551/1/012048
