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 Tables and Relationships Explained

Tables and Relationships Explained

In relational databases, tables are the core structure where data is stored. Understanding how these tables relate to each other is crucial for designing efficient and effective database systems. This section will cover four key types of table relationships: one-to-one, one-to-many, many-to-one, and many-to-many.

1. One-to-One Relationship

A one-to-one relationship exists when each record in one table corresponds to exactly one record in another table. This type of relationship is less common but can be useful for splitting data into separate tables for reasons such as normalization or security.

Example: Consider a database for storing user information. You might have a "Users" table and a "UserDetails" table. Each user has exactly one set of detailed information.

CREATE TABLE Users (
    UserID INT PRIMARY KEY,
    Username VARCHAR(50)
);

CREATE TABLE UserDetails (
    UserID INT PRIMARY KEY,
    FullName VARCHAR(100),
    Address VARCHAR(255),
    FOREIGN KEY (UserID) REFERENCES Users(UserID)
);
    

2. One-to-Many Relationship

A one-to-many relationship is the most common type of relationship. It exists when one record in a table can be associated with multiple records in another table. For example, a single customer can have many orders.

Example: In an e-commerce database, a "Customers" table and an "Orders" table can have a one-to-many relationship.

CREATE TABLE Customers (
    CustomerID INT PRIMARY KEY,
    Name VARCHAR(100)
);

CREATE TABLE Orders (
    OrderID INT PRIMARY KEY,
    CustomerID INT,
    OrderDate DATE,
    FOREIGN KEY (CustomerID) REFERENCES Customers(CustomerID)
);
    

3. Many-to-One Relationship

A many-to-one relationship is essentially the inverse of a one-to-many relationship. It exists when multiple records in one table can be associated with a single record in another table. This relationship is often used in scenarios where multiple employees work under a single manager.

Example: In a company database, an "Employees" table and a "Departments" table can have a many-to-one relationship.

CREATE TABLE Departments (
    DepartmentID INT PRIMARY KEY,
    DepartmentName VARCHAR(100)
);

CREATE TABLE Employees (
    EmployeeID INT PRIMARY KEY,
    Name VARCHAR(100),
    DepartmentID INT,
    FOREIGN KEY (DepartmentID) REFERENCES Departments(DepartmentID)
);
    

4. Many-to-Many Relationship

A many-to-many relationship exists when multiple records in one table can be associated with multiple records in another table. This type of relationship requires a junction table to manage the associations.

Example: In a school database, a "Students" table and a "Courses" table can have a many-to-many relationship, where each student can take multiple courses and each course can have multiple students.

CREATE TABLE Students (
    StudentID INT PRIMARY KEY,
    Name VARCHAR(100)
);

CREATE TABLE Courses (
    CourseID INT PRIMARY KEY,
    CourseName VARCHAR(100)
);

CREATE TABLE StudentCourses (
    StudentID INT,
    CourseID INT,
    PRIMARY KEY (StudentID, CourseID),
    FOREIGN KEY (StudentID) REFERENCES Students(StudentID),
    FOREIGN KEY (CourseID) REFERENCES Courses(CourseID)
);
    

Understanding these four types of relationships is fundamental for designing relational databases. By mastering these concepts, you can create efficient and scalable database systems that meet the needs of your applications.