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SQL, or Structured Query Language, can sound intimidating at first. It’s a language primarily used to define, manipulate, and query data held in relational databases — the kind of databases where data is highly organized and structured to fit in well-defined rows and columns.
Note: You can learn more about relational databases, including their history, key concepts, and common uses, by following the Understanding Relational Databases tutorial.
SQL’s popularity has grown since its inception in the 1970s, and the areas where SQL is used have vastly expanded. Now, SQL is a mature and prevalent way of querying and manipulating data in most industries and with the most popular tools. You have a high chance of encountering SQL in your work, whether you are a database administrator, database architect, software engineer, data analyst, or none of the above! Even if you don’t use SQL directly, you can still benefit from understanding its concepts.
This article shows why it’s worth learning SQL and explains where and how you can apply that knowledge.
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Structured Query Language — commonly known as SQL — is a language used to define, control, manipulate, and query data held in a relational database. SQL has been widely adopted since it was first developed in the 1970s, and today it’s the predominant language used to manage relational database management systems.
Ideal for managing structured data (data that can fit neatly into an existing data model), SQL is an essential tool for developers and system administrators in a wide variety of contexts. Also, because of its maturity and prevalence, candidates with SQL experience are highly sought after for jobs across a number of industries.
This series is intended to help you get started with using SQL. It includes a mix of conceptual articles and tutorials which provide introductions to various SQL concepts and practices. You can also use the entries in this series for reference while you continue to hone your skills with SQL.
Note: Please be aware that the tutorials in this series use MySQL in examples, but many RDBMSs use their own unique implementations of SQL. Although the commands outlined in this tutorial will work on most RDBMSs, the exact syntax or output may differ if you test them on a system other than MySQL.
Browse Series: 27 tutorials
Creating bespoke software ◦ CTO & co-founder at Makimo. I'm a software enginner & a geek. I like making impossible things possible. And I need tea.
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