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
3. Working with Databases

. Working with Databases

Working with databases involves several key concepts that are essential for managing and manipulating data effectively. This section will cover three fundamental aspects: creating databases, managing tables, and handling data within those tables.

1. Creating Databases

Creating a database is the first step in organizing your data. A database is a container that holds one or more tables. To create a database, you use the CREATE DATABASE statement.

Example:

CREATE DATABASE MyFirstDatabase;
    

This command creates a new database named "MyFirstDatabase." Once created, you can start adding tables and data to this database.

2. Managing Tables

Tables are the core structure within a database where data is stored. Managing tables involves creating, altering, and deleting them. The CREATE TABLE statement is used to create a new table, while ALTER TABLE modifies an existing table, and DROP TABLE removes a table.

Example of creating a table:

CREATE TABLE Employees (
    EmployeeID INT PRIMARY KEY,
    Name VARCHAR(100),
    Department VARCHAR(50),
    HireDate DATE
);
    

This command creates a table named "Employees" with columns for EmployeeID, Name, Department, and HireDate.

Example of altering a table:

ALTER TABLE Employees
ADD COLUMN Email VARCHAR(100);
    

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

Example of deleting a table:

DROP TABLE Employees;
    

This command removes the "Employees" table from the database.

3. Handling Data within Tables

Once tables are created, the next step is to handle the data within them. This involves inserting new data, updating existing data, and deleting data when necessary. The INSERT INTO statement is used to add new records, UPDATE modifies existing records, and DELETE FROM removes records.

Example of inserting data:

INSERT INTO Employees (EmployeeID, Name, Department, HireDate)
VALUES (1, 'John Doe', 'Sales', '2023-01-15');
    

This command adds a new employee record to the "Employees" table.

Example of updating data:

UPDATE Employees
SET Department = 'Marketing'
WHERE EmployeeID = 1;
    

This command updates the department of the employee with EmployeeID 1 to "Marketing."

Example of deleting data:

DELETE FROM Employees
WHERE EmployeeID = 1;
    

This command removes the employee record with EmployeeID 1 from the "Employees" table.

Understanding these key concepts and commands is crucial for effectively working with databases. By mastering these operations, you can efficiently manage and manipulate data to meet your needs.