Database Specialist (1D0-541)
1 Introduction to Databases
1-1 Definition and Purpose of Databases
1-2 Types of Databases
1-3 Database Management Systems (DBMS)
1-4 Evolution of Databases
2 Relational Database Concepts
2-1 Relational Model
2-2 Tables, Rows, and Columns
2-3 Keys (Primary, Foreign, Composite)
2-4 Relationships (One-to-One, One-to-Many, Many-to-Many)
2-5 Normalization (1NF, 2NF, 3NF, BCNF)
3 SQL Fundamentals
3-1 Introduction to SQL
3-2 Data Definition Language (DDL)
3-2 1 CREATE, ALTER, DROP
3-3 Data Manipulation Language (DML)
3-3 1 SELECT, INSERT, UPDATE, DELETE
3-4 Data Control Language (DCL)
3-4 1 GRANT, REVOKE
3-5 Transaction Control Language (TCL)
3-5 1 COMMIT, ROLLBACK, SAVEPOINT
4 Advanced SQL
4-1 Subqueries
4-2 Joins (INNER, OUTER, CROSS)
4-3 Set Operations (UNION, INTERSECT, EXCEPT)
4-4 Aggregation Functions (COUNT, SUM, AVG, MAX, MIN)
4-5 Grouping and Filtering (GROUP BY, HAVING)
4-6 Window Functions
5 Database Design
5-1 Entity-Relationship (ER) Modeling
5-2 ER Diagrams
5-3 Mapping ER Diagrams to Relational Schemas
5-4 Design Considerations (Performance, Scalability, Security)
6 Indexing and Performance Tuning
6-1 Indexes (Clustered, Non-Clustered)
6-2 Index Types (B-Tree, Bitmap)
6-3 Indexing Strategies
6-4 Query Optimization Techniques
6-5 Performance Monitoring and Tuning
7 Database Security
7-1 Authentication and Authorization
7-2 Role-Based Access Control (RBAC)
7-3 Data Encryption (Symmetric, Asymmetric)
7-4 Auditing and Logging
7-5 Backup and Recovery Strategies
8 Data Warehousing and Business Intelligence
8-1 Introduction to Data Warehousing
8-2 ETL Processes (Extract, Transform, Load)
8-3 Dimensional Modeling
8-4 OLAP (Online Analytical Processing)
8-5 Business Intelligence Tools
9 NoSQL Databases
9-1 Introduction to NoSQL
9-2 Types of NoSQL Databases (Key-Value, Document, Column-Family, Graph)
9-3 CAP Theorem
9-4 NoSQL Data Models
9-5 NoSQL Use Cases
10 Database Administration
10-1 Installation and Configuration
10-2 User Management
10-3 Backup and Recovery
10-4 Monitoring and Maintenance
10-5 Disaster Recovery Planning
11 Emerging Trends in Databases
11-1 Cloud Databases
11-2 Distributed Databases
11-3 NewSQL
11-4 Blockchain and Databases
11-5 AI and Machine Learning in Databases
3-2 1 CREATE, ALTER, DROP Explained

3-2 1 CREATE, ALTER, DROP Explained

Key Concepts

CREATE

The CREATE command is used to create new database objects such as tables, views, indexes, and schemas. It defines the structure and initial state of the object.

Example: Creating a new table named "Employees" with columns "EmployeeID," "Name," and "Department."

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

ALTER

The ALTER command is used to modify the structure of existing database objects. It can add, delete, or modify columns and constraints in a table.

Example: Adding a new column "Email" to the "Employees" table.

        ALTER TABLE Employees
        ADD Email VARCHAR(100);
    

DROP

The DROP command is used to remove existing database objects such as tables, views, indexes, and schemas. It permanently deletes the object and its data.

Example: Dropping the "Employees" table.

        DROP TABLE Employees;
    

Examples and Analogies

CREATE: Think of CREATE as building a new house. You define the layout, rooms, and initial furnishings.

ALTER: Think of ALTER as renovating an existing house. You add new rooms, modify existing ones, or change the layout.

DROP: Think of DROP as demolishing a house. Once you drop an object, it is gone, and all its contents are lost.

Conclusion

Understanding the CREATE, ALTER, and DROP commands is essential for managing database objects effectively. These commands allow you to create new structures, modify existing ones, and remove unnecessary objects, ensuring your database remains organized and efficient.