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
SQL Syntax and Structure

SQL Syntax and Structure

1. SQL Statements

SQL statements are the commands used to interact with a database. They can be used to perform various operations such as querying data, inserting new records, updating existing records, and deleting records.

Example:

SELECT * FROM employees; INSERT INTO employees (name, age) VALUES ('John Doe', 30); UPDATE employees SET age = 31 WHERE name = 'John Doe'; DELETE FROM employees WHERE name = 'John Doe';

2. SQL Clauses

SQL clauses are components of SQL statements that perform specific tasks. Common clauses include SELECT, FROM, WHERE, ORDER BY, and GROUP BY.

Example:

SELECT name, age FROM employees WHERE department = 'Sales' ORDER BY age DESC;

3. SQL Operators

SQL operators are used to perform operations on data within SQL statements. Common operators include arithmetic operators (+, -, *, /), comparison operators (=, >, <, !=), and logical operators (AND, OR, NOT).

Example:

SELECT name, salary FROM employees WHERE salary > 50000 AND department = 'Engineering';

4. SQL Data Types

SQL data types define the type of data that can be stored in a database column. Common data types include INT, VARCHAR, DATE, FLOAT, and BOOLEAN.

Example:

CREATE TABLE employees ( id INT PRIMARY KEY, name VARCHAR(100), age INT, salary FLOAT, hire_date DATE );

5. SQL Functions

SQL functions are built-in routines that perform specific tasks. Common functions include aggregate functions (COUNT, SUM, AVG), string functions (CONCAT, LENGTH), and date functions (NOW, DATE_FORMAT).

Example:

SELECT COUNT(*) AS total_employees FROM employees; SELECT CONCAT(first_name, ' ', last_name) AS full_name FROM employees; SELECT DATE_FORMAT(hire_date, '%Y-%m-%d') AS formatted_date FROM employees;