DBMS-MySQL

   DBMS (Database Management System) 

    1. Introduction

  • DBMS stands for Database Management System.

  • It is used to store, manage, and retrieve data efficiently.

  • Example: MySQL, Oracle, SQL Server, MS Access, PostgreSQL.

     2. Database

  • A database is a collection of related data.

  • It stores data in an organized form (tables).

  • Example: A school database may have tables for students, teachers, and subjects.

     3. Table

  • Data is stored in rows and columns format.

  • Each row represents a record.

  • Each column represents a field (attribute).

 

Sr. No. Name Mobile No. Date of Joining
1001 Ankit Sisodia 821892***** 2025-10-**
1002 Ramesh Kumar 905889***** 2025-05-**

       4. Advantages of DBMS (Database Management System)-

  1. Data Redundancy Control
    DBMS avoids storing the same data multiple times by centralizing it.

  2. Data Consistency
    Because data is stored in one place, any change is reflected everywhere, keeping data accurate.

  3. Data Sharing
    Multiple users and applications can access the same data simultaneously.

  4. Data Security
    Access to data can be controlled using authentication and authorization features.

  5. Backup and Recovery
    DBMS automatically takes care of data backup and recovery in case of failure.

  6. Data Integrity
    Ensures accuracy and correctness of data using integrity constraints (like primary key, foreign key).

  7. Efficient Data Access
    Provides fast and efficient data retrieval using query optimization.

  8. Multiple User Interface
    Supports different interfaces (forms, queries, reports) for various users.

  9. Reduced Application Development Time
    Common data handling tasks (searching, sorting, etc.) are managed by DBMS, reducing programming effort.

  10. Concurrency Control
    Allows many users to access data at the same time without conflicts.

  11. Data Independence
    Data structure changes do not affect the application program directly.

  12. Improved Decision Making
    Provides accurate and timely data for better analysis and business decisions

Types of Database Model

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