DBMS Concepts

DBMS Tutorial Components of DBMS. Applications of DBMS The difference between file system and DBMS. Types of DBMS DBMS Architecture DBMS Schema Three Schema Architecture. DBMS Languages.

DBMS ER Model

ER model: Entity Relationship Diagram (ERD) Components of ER Model. DBMS Generalization, Specialization and Aggregation.

DBMS Relational Model

Codd’s rule of DBMS Relational DBMS concepts Relational Integrity Constraints DBMS keys Convert ER model into Relational model Difference between DBMS and RDBMS Relational Algebra DBMS Joins

DBMS Normalization

Functional Dependency Inference Rules Multivalued Dependency Normalization in DBMS: 1NF, 2NF, 3NF, BCNF and 4NF

DBMS Transaction

What is Transaction? States of transaction ACID Properties in DBMS Concurrent execution and its problems DBMS schedule DBMS Serializability Conflict Serializability View Serializability Deadlock in DBMS Concurrency control Protocols

Difference

Difference between DFD and ERD

Misc

Advantages of DBMS Disadvantages of DBMS Data Models in DBMS Relational Algebra in DBMS Cardinality in DBMS Entity in DBMS Attributes in DBMS Data Independence in DBMS Primary Key in DBMS Foreign Key in DBMS Candidate Key in DBMS Super Key in DBMS Aggregation in DBMS Hashing in DBMS Generalization in DBMS Specialization in DBMS View in DBMS File Organization in DBMS What Is A Cloud Database What Is A Database Levels Of Locking In DBMS What is RDBMS Fragmentation in Distributed DBMS What is Advanced Database Management System Data Abstraction in DBMS Checkpoint In DBMS B Tree in DBMS BCNF in DBMS Advantages of Threaded Binary Tree in DBMS Advantages of Database Management System in DBMS Enforcing Integrity Constraints in DBMS B-Tree Insertion in DBMS B+ Tree in DBMS Advantages of B-Tree in DBMS Types of Data Abstraction in DBMS Levels of Abstraction in DBMS 3- Tier Architecture in DBMS Anomalies in Database Management System Atomicity in Database Management System Characteristics of DBMS DBMS Examples Difference between Relational and Non-Relational Databases Domain Constraints in DBMS Entity and Entity set in DBMS ER Diagram for Banking System in DBMS ER Diagram for Company Database in DBMS ER Diagram for School Management System in DBMS ER Diagram for Student Management System in DBMS ER Diagram for University Database in DBMS ER Diagram of Company Database in DBMS Er Diagram Symbols and Notations in DBMS How to draw ER-Diagram in DBMS Integrity Constraints in DBMS Red-Black Tree Deletion in DBMS Red-Black Tree Properties in DBMS Red-Black Tree Visualization in DBMS Redundancy in Database Management System Secondary Key in DBMS Structure of DBMS 2-Tier Architecture in DBMS Advantages and Disadvantages of Binary Search Tree Closure of Functional Dependency in DBMS Consistency in Database Management System Durability in Database Management System ER Diagram for Bank Management System in DBMS ER Diagram for College Management System in DBMS ER Diagram for Hotel Management System in DBMS ER Diagram for Online Shopping ER Diagram for Railway Reservation System ER Diagram for Student Management System in DBMS Isolation in DBMS Lossless Join and Dependency Preserving Decomposition in DBMS Non-Key Attributes in DBMS Data Security Requirements in DBMS DBMS functions and Components What is Homogeneous Database? DBMS Functions and Components Advantages and Disadvantages of Distributed Database Relational Database Schema in DBMS Relational Schema

Characteristics of DBMS
2023-03-06 02:05:21

Characteristics of DBMS

Introduction to DBMS:

A database management system (DBMS) is a software application that is designed to manage and organize data stored in a database. It is responsible for storing, retrieving, and manipulating data in a database. DBMSs provide a way for users to create, modify, and delete databases,9* as well as to create, modify, and delete tables and other database objects within those databases.

There are several types of DBMSs, including relational DBMSs (RDBMS), object-oriented DBMSs (OODBMS), and NoSQL DBMSs. Relational DBMSs are based on the relational model, which organizes data into tables (also known as relations) with rows (also known as tuples) and columns (also known as attributes). Object-oriented DBMSs are based on the object-oriented model, which organizes data into objects that are associated with classes and inheritance. NoSQL DBMSs are designed to handle large amounts of data that is distributed across multiple servers, and are often used for big data and real-time web applications.

Characteristics of DBMS

A database management system (DBMS) is a software program that is designed to manage and organize databases. Some of the characteristics of a DBMS include:

  1. Data independence: A DBMS provides data independence, which means that the data is separate from the application programs that use it. This allows the data to be accessed and manipulated by different programs without affecting the data itself.
  2. Data security: A DBMS provides data security to prevent unauthorized access to the data. This includes features such as user authentication, user permissions, and data encryption.
  3. Data integrity: A DBMS ensures that the data is accurate and consistent by implementing rules and constraints on the data.
  4. Data manipulation: A DBMS provides a set of tools and functions for manipulating the data, such as inserting, updating, and deleting records.
  5. Data modeling: A DBMS allows users to model the data in a way that is logical and meaningful, using concepts such as entities, attributes, and relationships.
  6. Data management: A DBMS provides features for managing the data, such as backup and recovery, performance optimization, and data distribution.
  7. Data dictionary: A DBMS maintains a data dictionary or system catalog, which is a set of metadata that describes the structure and properties of the data in the database.
  8. Real-world entity:  Data management systems were developed with business organizations in mind. They assist businesses in effective data management. These systems store a lot of data and make it easy to look through it. Microsoft Access, Oracle, MySQL, and other such applications are just a few examples.
  9. Databases with relationships: Databases with relationships were first introduced in the 1970s. Each record in this kind of database has fields called attributes. A single piece of information about an object is represented by each attribute.
  10. Structured query language: The 1980s saw the development of Structured Query Language. It makes it possible to run queries against a database. Because they use predefined structures to define relationships between entities, SQL queries are referred to as structured queries.

Examples include:

* FROM employees WHERE department "IT" is selected.

Here "*" denotes all employee table columns in this instance. Additionally, we can select multiple columns at once while specifying just a few.

The ability of SQL to combine two statements into a single statement is another important feature.

  1. Data and application isolation: A database system and its data are not the same thing. Data is said to be passive, whereas a database functions and organizes. The database management system stores metadata, which is data about data.

Additionally, the user had to modify everything in a traditional file management system because the application programs define the structure of data files. However, in DBMS, the structure of data files is stored in the system catalog rather than the program. With this, any changes to the data or internal improvements to data efficiency do not affect application software; rather, it acts as a barrier between the program and the data.

  1. Systems with distributed databases: Information is stored on multiple computers that are connected by a computer network. It is simple to add more servers without having to rebuild the entire software infrastructure with this type of architecture. The three parts of a distributed database are: shared storage, server applications, and client applications. Standard protocols like TCP/IP are used by client applications to get to the shared storage. Clients receive services from server applications. Persistent storage for all data is provided by shared storage. Additionally, metadata about other cluster nodes is stored by each node.