Categories of SQL command to know for Data Analytics

Categories of SQL command to know for Data Analysis


SQL Command

Relational databases can be managed and manipulated using the programming language SQL (Structured Query Language). Here are some crucial SQL command categories to be aware of for data analysis:

Data Definition Language (DDL)

what are the DDL commands?

DDL modifies the structure of the table by adding, removing, or changing tables, among other things.
All DDL commands are automatically committed, which permanently saves all database modifications.
The following commands are included in DDL:


This command builds a new table and has a predefined syntax. The CREATE statement syntax is:

CREATE TABLE [table name] ([column definitions]) [table parameters];

For example:

CREATE TABLE employees (
    name VARCHAR(100),
    salary DECIMAL(10, 2)

CREATE TABLE employees:

This part of the statement indicates that you are creating a new table named “employees.”


This line defines the first column of the table, named “id.”
INT specifies that it is an integer data type, meaning it will store whole numbers.
PRIMARY KEY indicates that the “id” column will be the primary key for the table. A primary key is a unique identifier for each record in the table.

(name VARCHAR(100),):

This line defines the second column of the table, named “name.”
VARCHAR(100) specifies that it is a variable character field, capable of storing up to 100 characters. This column is typically used for storing names or textual information.

(salary DECIMAL(10, 2)):

This line defines the third column of the table, named “salary.”
DECIMAL(10, 2) specifies a decimal data type with a total of 10 digits, where 2 digits are reserved for the decimal part. This is commonly used for storing monetary values.

In summary, the SQL statement is creating a table named “employees” with three columns: “id” for unique identification, “name” for storing names, and “salary” for storing decimal values such as salaries. The “id” column is designated as the primary key, ensuring each record in the table has a unique identifier.


An alter command modifies an existing database table. This command can add up additional column, drop existing columns and even change the data type of columns involved in a database table.

An alter command syntax is:

ALTER object type object name parameters;

For example:


ALTER TABLE employees
ADD department VARCHAR(50);

In this example, we added a unique primary key to the table to add a constraint and enforce a unique value. The constraint “employee_pk” is a primary key and is on the Employee table.


A drop command is used to delete objects such as a table, index or view. A DROP statement cannot be rolled back, so once an object is destroyed, there’s no way to recover it.

Drop statement syntax is:

DROP object type object name;

For example:


DROP TABLE employees;

In this example, we’re deleting the Employee table.


Similar to DROP, the TRUNCATE statement is used to quickly remove all records from a table. However, unlike DROP that completely destroys a table, TRUNCATE preserves its full structure to be reused later.Truncate statement syntax is:

TRUNCATE TABLE table_name;

For example:



This statement allows you to add comments to a table or column, which can be useful for documentation purposes.

COMMENT ON COLUMN employees.salary IS 'The salary of the employee';

DQL Command

Data Query Language DQL is used to fetch the data from the database. A group of SQL commands known as Data Query Language (DQL) are used to extract data from databases. The DQL command that is used the most is SELECT. Here are a few DQL command examples: Create table
CREATE TABLE employees (
    name VARCHAR(100),
    salary DECIMAL(10, 2)

Insert Data

INSERT INTO employees (id, name, salary) VALUES
    (1, 'John Doe', 50000.00),
    (2, 'Jane Smith', 60000.00),
    (3, 'Michael Johnson', 55000.00),
    (4, 'Emily Williams', 62000.00),
    (5, 'Robert Brown', 48000.00),
    (6, 'Lisa Davis', 53000.00),
    (7, 'William Wilson', 58000.00),
    (8, 'Linda Taylor', 51000.00),
    (9, 'James Anderson', 54000.00),
    (10, 'Mary Martinez', 57000.00);
This command will inser data

Step 3: Retrieve All Data

SELECT * FROM employees;
This query retrieves all rows and columns from the “employees” table.

Step 4: Retrieve Specific Columns

SELECT name, salary FROM employees;
This query retrieves only the “name” and “salary” columns from the “employees” table.

Step 5: Filter Data

SELECT * FROM employees WHERE salary > 55000;


The database can be changed by using DML commands. It is in charge of making any kind of database modifications. DML commands cannot permanently save all database changes since they are not auto-committed. They are rollbackable. The four primary DML commands in SQL are as follows:
  • INSERT Command
  • UPDATE Command
  • DELETE Command

 UPDATE: Modify existing data.

-- Update John Doe's salary to $55000
UPDATE employees SET salary = 55000.00 WHERE name = 'John Doe';

DELETE: Remove rows from the table.

-- Delete the employee with ID 5
DELETE FROM employees WHERE id = 5;

INSERT INTO: Add new rows to the table.

-- Insert a new employee
INSERT INTO employees (id, name, salary) VALUES (11, 'Alex Johnson', 59000.00);

UPDATE Multiple Rows: You can update multiple rows at once.

-- Increase salary by 10% for employees with salary less than 55000
UPDATE employees SET salary = salary * 1.10 WHERE salary < 55000;

DELETE with Condition: Delete rows based on a condition.

-- Delete employees with a salary less than 50000
DELETE FROM employees WHERE salary < 50000;

INSERT Multiple Rows: Insert multiple rows at once.

-- Insert multiple employees
INSERT INTO employees (id, name, salary)
    (12, 'Sarah Brown', 58000.00),
    (13, 'Thomas Miller', 53000.00);

Data Control Language (DCL)

To control access to database objects, use these instructions. GRANT and REVOKE are a couple of examples of commands in this group.DCL (Data Control Language) commands are used to control access to data within a database. They are primarily concerned with granting or revoking permissions and privileges to users. Here’s how you can use DCL commands on the “employees” table and dataset: A person or group of users can be granted special rights with this command. The GRANT command has the following syntax:


-- Grant SELECT privilege on the employees table to a user or role
GRANT SELECT ON employees TO username_or_role;

REVOKE: Remove privileges from users or roles.

-- Revoke SELECT privilege on the employees table from a user or role
REVOKE SELECT ON employees FROM username_or_role;
DCL commands are used to manage permissions, access control, and security within the database. Keep in mind that the specific syntax and implementation might vary depending on the database system you are using.

Transaction Control Language (TCL)

The management of transactions, which are collections of database activities that are handled as a single unit of work, is done using these commands. The commands COMMIT and ROLLBACK are examples of this class. Transaction Control Language (TCL) consists of a set of SQL commands that control the transactions in a database. Transactions are sequences of one or more SQL statements that are executed as a single unit of work. TCL commands allow you to manage the changes made to a database during transactions. Here are the main TCL commands:


This command is used to permanently save changes made in the current transaction to the database. Once committed, the changes become permanent and visible to other transactions.


This command is used to undo changes made in the current transaction. It reverts the database to the state it was in before the transaction began.


A savepoint marks a specific point within a transaction to which you can later roll back. It allows you to selectively undo parts of a transaction while leaving other parts intact.


  This command undoes changes made after a specific savepoint within a transaction.
TCL commands are crucial for maintaining data integrity, managing concurrent transactions, and ensuring that changes to the database are controlled and consistent. By using these commands effectively, you can handle transactions in a way that aligns with your application’s requirements and maintains the reliability of your data.

Answer: The SQL SELECT statement is used to retrieve data from one or more tables. It allows you to specify which columns to retrieve and apply filtering conditions using the WHERE clause.

Answer: You can filter rows from a table using the WHERE clause in conjunction with the SELECT statement. The WHERE clause allows you to specify conditions that the rows must meet to be included in the result set.

Answer: The GROUP BY clause is used to group rows with similar values in specified columns. It’s often used in combination with aggregate functions to perform calculations on grouped data.

Answer: The INNER JOIN returns only the matching rows from both tables based on the specified condition. On the other hand, the LEFT JOIN returns all the rows from the left table and the matching rows from the right table. If there’s no match, NULL values are returned for the right table’s columns.

Answer: You can calculate the average of a specific column using the AVG aggregate function in combination with the SELECT statement and optionally the GROUP BY clause.

Answer: The SQL INSERT statement is used to add new rows into a table. It allows you to specify the values for each column in the new row.

Answer: A primary key is a column or a set of columns that uniquely identify each row in a table. It ensures data integrity by preventing duplicate or null values in the key columns.

Answer: The ORDER BY clause is used to sort the result set of a query based on one or more columns. You can specify the sorting order (ascending or descending) for each column.

The SQL ALTER TABLE statement is used to modify the structure of an existing table, such as adding or dropping columns, changing data types, or adding constraints.

A subquery is a nested query that can be used within another query. It can be employed to retrieve data that will be used for filtering, calculations, or comparisons in the outer query. Subqueries are enclosed in parentheses and can appear in various parts of a SQL statement, such as the WHERE clause or the FROM clause.


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