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
Creating and Managing Databases

Creating and Managing Databases

Key Concepts

  1. Database Creation
  2. Table Creation
  3. Data Manipulation
  4. Database Maintenance

1. Database Creation

Creating a database is the first step in setting up a relational database management system (RDBMS). A database is a container for tables, views, indexes, and other database objects. The CREATE DATABASE statement is used to create a new database.

Example:

CREATE DATABASE CompanyDB;
    

This command creates a new database named CompanyDB.

2. Table Creation

Tables are the fundamental structures within a database where data is stored. Each table consists of rows and columns. The CREATE TABLE statement is used to create a new table within a database.

Example:

CREATE TABLE Employees (
    EmployeeID INT PRIMARY KEY,
    Name VARCHAR(100),
    Department VARCHAR(50),
    Salary DECIMAL(10, 2)
);
    

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

3. Data Manipulation

Data manipulation involves inserting, updating, and deleting data within a database. The INSERT, UPDATE, and DELETE statements are used for these operations.

Example of inserting data:

INSERT INTO Employees (EmployeeID, Name, Department, Salary)
VALUES (1, 'John Doe', 'Sales', 50000.00);
    

This command inserts a new employee record into the Employees table.

Example of updating data:

UPDATE Employees
SET Salary = 55000.00
WHERE EmployeeID = 1;
    

This command updates the salary of the employee with EmployeeID 1.

Example of deleting data:

DELETE FROM Employees
WHERE EmployeeID = 1;
    

This command deletes the employee record with EmployeeID 1.

4. Database Maintenance

Database maintenance involves tasks such as backing up data, optimizing performance, and ensuring data integrity. Common maintenance tasks include creating backups, indexing tables, and monitoring database performance.

Example of creating a backup:

BACKUP DATABASE CompanyDB
TO DISK = 'C:\Backup\CompanyDB.bak';
    

This command creates a backup of the CompanyDB database to the specified disk location.

Example of indexing a table:

CREATE INDEX idx_Name
ON Employees (Name);
    

This command creates an index on the Name column of the Employees table to improve query performance.