SQL
1 Introduction to SQL
1.1 Overview of SQL
1.2 History and Evolution of SQL
1.3 Importance of SQL in Data Management
2 SQL Basics
2.1 SQL Syntax and Structure
2.2 Data Types in SQL
2.3 SQL Statements: SELECT, INSERT, UPDATE, DELETE
2.4 SQL Clauses: WHERE, ORDER BY, GROUP BY, HAVING
3 Working with Databases
3.1 Creating and Managing Databases
3.2 Database Design Principles
3.3 Normalization in Database Design
3.4 Denormalization for Performance
4 Tables and Relationships
4.1 Creating and Modifying Tables
4.2 Primary and Foreign Keys
4.3 Relationships: One-to-One, One-to-Many, Many-to-Many
4.4 Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
5 Advanced SQL Queries
5.1 Subqueries and Nested Queries
5.2 Common Table Expressions (CTEs)
5.3 Window Functions
5.4 Pivoting and Unpivoting Data
6 Data Manipulation and Aggregation
6.1 Aggregate Functions: SUM, COUNT, AVG, MIN, MAX
6.2 Grouping and Filtering Aggregated Data
6.3 Handling NULL Values
6.4 Working with Dates and Times
7 Indexing and Performance Optimization
7.1 Introduction to Indexes
7.2 Types of Indexes: Clustered, Non-Clustered, Composite
7.3 Indexing Strategies for Performance
7.4 Query Optimization Techniques
8 Transactions and Concurrency
8.1 Introduction to Transactions
8.2 ACID Properties
8.3 Transaction Isolation Levels
8.4 Handling Deadlocks and Concurrency Issues
9 Stored Procedures and Functions
9.1 Creating and Executing Stored Procedures
9.2 User-Defined Functions
9.3 Control Structures in Stored Procedures
9.4 Error Handling in Stored Procedures
10 Triggers and Events
10.1 Introduction to Triggers
10.2 Types of Triggers: BEFORE, AFTER, INSTEAD OF
10.3 Creating and Managing Triggers
10.4 Event Scheduling in SQL
11 Views and Materialized Views
11.1 Creating and Managing Views
11.2 Uses and Benefits of Views
11.3 Materialized Views and Their Use Cases
11.4 Updating and Refreshing Views
12 Security and Access Control
12.1 User Authentication and Authorization
12.2 Role-Based Access Control
12.3 Granting and Revoking Privileges
12.4 Securing Sensitive Data
13 SQL Best Practices and Standards
13.1 Writing Efficient SQL Queries
13.2 Naming Conventions and Standards
13.3 Documentation and Code Comments
13.4 Version Control for SQL Scripts
14 SQL in Real-World Applications
14.1 Integrating SQL with Programming Languages
14.2 SQL in Data Warehousing
14.3 SQL in Big Data Environments
14.4 SQL in Cloud Databases
15 Exam Preparation
15.1 Overview of the Exam Structure
15.2 Sample Questions and Practice Tests
15.3 Time Management Strategies
15.4 Review and Revision Techniques
4.1 Creating and Modifying Tables

Creating and Modifying Tables

Creating and modifying tables are fundamental operations in SQL that allow you to define the structure of your database and adapt it as your needs change. This section will cover the key concepts and commands for creating and modifying tables.

1. Creating Tables

Creating a table involves defining its structure, including the columns, data types, and constraints. The CREATE TABLE statement is used to create a new table in the database.

Example:

CREATE TABLE Employees (
    EmployeeID INT PRIMARY KEY,
    FirstName VARCHAR(50),
    LastName VARCHAR(50),
    Department VARCHAR(50),
    HireDate DATE
);
    

In this example, a table named Employees is created with columns for EmployeeID, FirstName, LastName, Department, and HireDate. The EmployeeID column is designated as the primary key.

2. Modifying Tables

Modifying a table involves changing its structure, such as adding or removing columns, altering data types, or adding constraints. The ALTER TABLE statement is used to modify an existing table.

Example of adding a column:

ALTER TABLE Employees
ADD COLUMN Email VARCHAR(100);
    

This command adds a new column named Email to the Employees table.

Example of modifying a column:

ALTER TABLE Employees
ALTER COLUMN Department VARCHAR(100);
    

This command changes the data type of the Department column to VARCHAR(100).

Example of dropping a column:

ALTER TABLE Employees
DROP COLUMN HireDate;
    

This command removes the HireDate column from the Employees table.

3. Constraints

Constraints are rules applied to the columns of a table to ensure data integrity. Common constraints include PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, and CHECK.

Example of adding a primary key constraint:

ALTER TABLE Employees
ADD CONSTRAINT PK_EmployeeID PRIMARY KEY (EmployeeID);
    

This command adds a primary key constraint to the EmployeeID column.

Example of adding a foreign key constraint:

ALTER TABLE Orders
ADD CONSTRAINT FK_CustomerID FOREIGN KEY (CustomerID)
REFERENCES Customers(CustomerID);
    

This command adds a foreign key constraint to the CustomerID column in the Orders table, referencing the CustomerID column in the Customers table.

4. Dropping Tables

Dropping a table involves removing the entire table from the database. The DROP TABLE statement is used to delete a table.

Example:

DROP TABLE Employees;
    

This command removes the Employees table from the database.