iti
18 April 2025
๐๏ธ Database Management โ Introduction for ITI Students
A Database is an organized collection of data that can be easily accessed, managed, and updated. Database Management refers to the process of storing, organizing, and handling data using specialized software called a Database Management System (DBMS).
๐ What is a Database?
- A structured way of storing information.
- Helps to store large amounts of data efficiently.
- Can be searched, modified, and reported easily.
Examples:
- Student record database in a school
- Customer database in a business
- Inventory database in a store
๐ป What is DBMS?
DBMS (Database Management System) is software used to create and manage databases.
Popular DBMS Software:
- Microsoft Access
- MySQL
- Oracle
- SQLite
- PostgreSQL
Functions of DBMS:
- Data storage and retrieval
- Data modification
- Data security and access control
- Backup and recovery
๐ Key Components of a Database
- Table: A collection of related data organized in rows and columns.
- Record: A single row in a table (e.g., one student's data).
- Field: A column in a table representing a single data item (e.g., Name, Roll Number).
- Primary Key: A unique identifier for a record in a table.
๐ ๏ธ Basic Operations in DBMS (CRUD)
- Create: Add new data to the database
- Read: View or search data
- Update: Modify existing data
- Delete: Remove unwanted data
๐งโ๐ซ Uses of Database Management in Real Life
- Storing student information in schools and colleges
- Maintaining customer records in businesses
- Managing inventory in shops and warehouses
- Handling employee data in companies
๐ Benefits of Database Management
- Efficient storage of large data
- Quick access and manipulation of data
- Data security and controlled access
- Easy backup and recovery
โ Learning Outcome
By understanding the basics of database management, ITI students can handle data more efficiently and are better prepared for careers in IT, administration, and business support roles. They will also be ready to learn advanced concepts like SQL, data analytics, and enterprise-level systems.