
For an instructor lead, in-depth look at learning SQL click below.
Structured Query Language, commonly known as SQL, is the standard language for dealing with Relational Databases. It can be used to perform tasks such as update data on a database, or get data from a database. This introductory guide to SQL is designed for beginners. We’ll walk you through the basics and provide hands-on examples.
A Brief Overview of SQL
SQL is a domain-specific language used in programming to access, manipulate, and communicate with databases. It is ubiquitous in the world of data, being the main form of data manipulation within traditional SQL databases, like MySQL or PostgreSQL, and Big Data systems, like Hive or Pig.
Anatomy of a Basic SQL Query
The most common operation in SQL is the query, which is performed with the SELECT statement. You can use a SELECT statement to get data from a database. A basic SQL query looks like this:
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SELECT Column1, Column2, ..., ColumnN FROM TableName WHERE Condition; |
Breakdown:
- SELECT: This keyword is used to specify the data we want. We can select one or many columns or use * to select all columns.
- FROM: This keyword specifies the table from which we’re pulling the data.
- WHERE: This keyword filters the data according to a condition. This is optional and can be left out if you don’t want to filter.
Hands-on SQL Example
Let’s suppose we have the following Cars table and we want to pull data from it.
Table: Cars
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+----+-------+-------+ | ID | Make | Model | +----+-------+-------+ | 1 | Tesla | S | | 2 | Honda | Civic | | 3 | Ford | F150 | | 4 | Tesla | 3 | +----+-------+-------+ |
We want to pull all Tesla cars. Here’s how to do it:
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SELECT * FROM Cars WHERE Make = 'Tesla'; |
The result will be:
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+----+-------+------+ | ID | Make | Model| +----+-------+------+ | 1 | Tesla | S | | 4 | Tesla | 3 | +----+-------+------+ |
And there you have it! That’s your beginner’s introduction to SQL. With these basics under your belt, you’re well on your way to becoming proficient in SQL. Remember, practice makes perfect. So don’t forget to keep trying out new queries and operations. Happy querying!