Databases
1 Introduction to Databases
1-1 Definition of Databases
1-2 Importance of Databases in Modern Applications
1-3 Types of Databases
1-3 1 Relational Databases
1-3 2 NoSQL Databases
1-3 3 Object-Oriented Databases
1-3 4 Graph Databases
1-4 Database Management Systems (DBMS)
1-4 1 Functions of a DBMS
1-4 2 Popular DBMS Software
1-5 Database Architecture
1-5 1 Centralized vs Distributed Databases
1-5 2 Client-Server Architecture
1-5 3 Cloud-Based Databases
2 Relational Database Concepts
2-1 Introduction to Relational Databases
2-2 Tables, Rows, and Columns
2-3 Keys in Relational Databases
2-3 1 Primary Key
2-3 2 Foreign Key
2-3 3 Composite Key
2-4 Relationships between Tables
2-4 1 One-to-One
2-4 2 One-to-Many
2-4 3 Many-to-Many
2-5 Normalization
2-5 1 First Normal Form (1NF)
2-5 2 Second Normal Form (2NF)
2-5 3 Third Normal Form (3NF)
2-5 4 Boyce-Codd Normal Form (BCNF)
3 SQL (Structured Query Language)
3-1 Introduction to SQL
3-2 SQL Data Types
3-3 SQL Commands
3-3 1 Data Definition Language (DDL)
3-3 1-1 CREATE
3-3 1-2 ALTER
3-3 1-3 DROP
3-3 2 Data Manipulation Language (DML)
3-3 2-1 SELECT
3-3 2-2 INSERT
3-3 2-3 UPDATE
3-3 2-4 DELETE
3-3 3 Data Control Language (DCL)
3-3 3-1 GRANT
3-3 3-2 REVOKE
3-3 4 Transaction Control Language (TCL)
3-3 4-1 COMMIT
3-3 4-2 ROLLBACK
3-3 4-3 SAVEPOINT
3-4 SQL Joins
3-4 1 INNER JOIN
3-4 2 LEFT JOIN
3-4 3 RIGHT JOIN
3-4 4 FULL JOIN
3-4 5 CROSS JOIN
3-5 Subqueries and Nested Queries
3-6 SQL Functions
3-6 1 Aggregate Functions
3-6 2 Scalar Functions
4 Database Design
4-1 Entity-Relationship (ER) Modeling
4-2 ER Diagrams
4-3 Converting ER Diagrams to Relational Schemas
4-4 Database Design Best Practices
4-5 Case Studies in Database Design
5 NoSQL Databases
5-1 Introduction to NoSQL Databases
5-2 Types of NoSQL Databases
5-2 1 Document Stores
5-2 2 Key-Value Stores
5-2 3 Column Family Stores
5-2 4 Graph Databases
5-3 NoSQL Data Models
5-4 Advantages and Disadvantages of NoSQL Databases
5-5 Popular NoSQL Databases
6 Database Administration
6-1 Roles and Responsibilities of a Database Administrator (DBA)
6-2 Database Security
6-2 1 Authentication and Authorization
6-2 2 Data Encryption
6-2 3 Backup and Recovery
6-3 Performance Tuning
6-3 1 Indexing
6-3 2 Query Optimization
6-3 3 Database Partitioning
6-4 Database Maintenance
6-4 1 Regular Backups
6-4 2 Monitoring and Alerts
6-4 3 Patching and Upgrading
7 Advanced Database Concepts
7-1 Transactions and Concurrency Control
7-1 1 ACID Properties
7-1 2 Locking Mechanisms
7-1 3 Isolation Levels
7-2 Distributed Databases
7-2 1 CAP Theorem
7-2 2 Sharding
7-2 3 Replication
7-3 Data Warehousing
7-3 1 ETL Processes
7-3 2 OLAP vs OLTP
7-3 3 Data Marts and Data Lakes
7-4 Big Data and Databases
7-4 1 Hadoop and HDFS
7-4 2 MapReduce
7-4 3 Spark
8 Emerging Trends in Databases
8-1 NewSQL Databases
8-2 Time-Series Databases
8-3 Multi-Model Databases
8-4 Blockchain and Databases
8-5 AI and Machine Learning in Databases
9 Practical Applications and Case Studies
9-1 Real-World Database Applications
9-2 Case Studies in Different Industries
9-3 Hands-On Projects
9-4 Troubleshooting Common Database Issues
10 Certification Exam Preparation
10-1 Exam Format and Structure
10-2 Sample Questions and Practice Tests
10-3 Study Tips and Resources
10-4 Final Review and Mock Exams
3 SQL (Structured Query Language) Explained

3 SQL (Structured Query Language) Explained

Key Concepts

Data Definition Language (DDL)

Data Definition Language (DDL) is a subset of SQL used to define and manage the structure of database objects. DDL commands are used to create, alter, and delete database schemas and tables. The primary DDL commands include:

Example: Creating a Table

To create a table named "Employees" with columns for ID, Name, and Salary:

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

Analogy: Blueprint for a House

Think of DDL as the blueprint for a house. Just as a blueprint defines the structure and layout of a house, DDL defines the structure of database objects. The CREATE command is like drawing the initial blueprint, ALTER is like making modifications to the blueprint, and DROP is like tearing down the blueprint entirely.

Data Manipulation Language (DML)

Data Manipulation Language (DML) is a subset of SQL used to manage data within database objects. DML commands are used to insert, update, and delete data in tables. The primary DML commands include:

Example: Inserting Data

To insert a new employee record into the "Employees" table:

        INSERT INTO Employees (ID, Name, Salary)
        VALUES (1, 'John Doe', 50000.00);
    

Analogy: Filling a Bookshelf

Think of DML as filling a bookshelf. The INSERT command is like adding a new book to the shelf, the UPDATE command is like replacing an existing book with a new one, and the DELETE command is like removing a book from the shelf. Just as you manage books on a shelf, DML helps you manage data in a database.

Data Control Language (DCL)

Data Control Language (DCL) is a subset of SQL used to control access to database objects. DCL commands are used to grant and revoke permissions to users. The primary DCL commands include:

Example: Granting Permissions

To grant a user named "Alice" the permission to select data from the "Employees" table:

        GRANT SELECT ON Employees TO Alice;
    

Analogy: Security System

Think of DCL as a security system for a house. The GRANT command is like giving someone a key to enter the house, while the REVOKE command is like taking the key away. Just as a security system controls who can enter a house, DCL controls who can access and manipulate data in a database.

Conclusion

Understanding the different subsets of SQL—Data Definition Language (DDL), Data Manipulation Language (DML), and Data Control Language (DCL)—is crucial for effectively managing and controlling databases. By mastering these concepts, you can create, modify, and secure your database objects and data, ensuring a robust and efficient database management system.