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Let's understand data types in Structured Query Language (SQL)
#datatypes #sql #sqltutorialforbeginners
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Chapters:

00:05 Introduction to Data Types in SQL
00:16 Understanding SQL Data Types with Examples
00:52 Importance of Specifying Correct Data Types
02:08 Categories of Data Types in SQL
02:28 Numeric Data Types in SQL
02:32 Boolean Data Type
03:37 Big Integer vs Integer
04:41 Numeric and Monetary Values
05:03 Commonly Used Numeric Data Types
05:27 Why Data Types Matter in SQL
06:43 String Data Types in SQL
06:49 Text and Character Data Types
07:27 Char vs Varchar
09:43 Date and Time Data Types in SQL
10:07 Date, Datetime, and Datetime2
10:44 Industry Practice for Date and Time Storage
11:15 Conclusion


Hello everyone, welcome to Educate Cube. Today we will discuss data types in SQL. Data types in SQL define the type of data that a column can store. For example, if we have a table with an employee name and employee ID, the employee name column will store text, so its data type is text. The employee ID column stores numbers, so its data type is numeric.

If we consider a sales unit column, we might see values like 1, N/A, and 2. Storing data in this way is not ideal because if we need to multiply or divide these units in the future, having text like N/A will cause errors. Therefore, each column should have a specific data type, whether it’s numeric, text, or date.

There are three main categories of data types in SQL: date, string, and numeric. Let’s understand each one by one:

Numeric Data Types:

Boolean: Used for storing true or false values. Zero is false, and one is true. For example, an "active status" column in an employee table can use boolean to indicate if an employee is currently active.
Big Integer: Used for large integer numbers. Unlike regular integers, big integers can store much larger values without truncation.
Numeric: Used for fixed-point or floating-point numbers, and decimal values.
Money: Used for monetary values.
String Data Types:

Text: Used for large text values.
Char(n): Used for storing fixed-length character data. If you define a column as char(10), it will always occupy 10 characters, even if the actual data is shorter, with spaces filling the rest.
Varchar: Used for variable-length character data. If you store "educate" in a varchar column, it will only occupy the actual length of the data (7 characters) instead of a fixed length.
Date Data Types:

Date: Used for date values in the format YYYY-MM-DD.
Datetime: Used for date and time values.
Datetime2: Similar to datetime but includes seconds.
Time: Used for storing time values only.
In practice, datetime is commonly used in the industry because it’s often useful to store both date and time for analysis. However, for many scenarios, just storing the date is sufficient.