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
3-3-1-2 ALTER Explained

3-3-1-2 ALTER Explained

Key Concepts

ALTER Command

The ALTER command in SQL is used to modify the structure of an existing table. This includes adding, modifying, or dropping columns, changing data types, and adding or removing constraints. The ALTER command is essential for maintaining and evolving the database schema over time.

Modifying Table Structure

Modifying the table structure involves making changes to the columns, data types, and constraints of a table. This is necessary when the requirements of the database change, such as when new data needs to be stored or when existing data needs to be restructured.

Adding, Modifying, and Dropping Columns

The ALTER command allows you to perform the following operations on columns:

Examples and Analogies

Example: Employee Database

Consider an "Employees" table with columns like "EmployeeID," "Name," and "Department." If you need to add a new column for "Email," you would use the following SQL command:

ALTER TABLE Employees ADD Email VARCHAR(255);

If later you decide to change the size of the "Email" column, you would use:

ALTER TABLE Employees MODIFY Email VARCHAR(100);

And if you no longer need the "Email" column, you would use:

ALTER TABLE Employees DROP COLUMN Email;

Analogy: Library System

Think of a library system where a "Books" table initially has columns like "BookID," "Title," and "Author." If the library decides to track the genre of each book, you would add a "Genre" column:

ALTER TABLE Books ADD Genre VARCHAR(50);

If the library later decides to categorize genres more precisely, you might modify the "Genre" column:

ALTER TABLE Books MODIFY Genre VARCHAR(100);

And if the library no longer needs to track genres, you would drop the "Genre" column:

ALTER TABLE Books DROP COLUMN Genre;

Conclusion

Understanding the ALTER command and its capabilities is crucial for managing and evolving database schemas. By using the ALTER command to add, modify, and drop columns, you can adapt your database to changing requirements, ensuring it remains efficient and relevant.