This document provides an overview of the key characteristics of database management systems (DBMS). It discusses the main types of DBMS (relational, hierarchical, network), aspects of data integrity like accuracy, validity and completeness, consistency, security through encryption and access control, persistence through reliability and durability, non-redundancy through elimination of duplicates and normalization, and independence through isolation, decentralization and modularity. The presentation was given by Shyam Kumar Sahu, a 3rd year CSE student at Bengal College of Engineering & Technology.

1. BENGAL COLLEGE OF
ENGINEERING & TECHNOLOGY
PRESENTATION ON
CHARACTERISTICS OFDBMS
NAME:-SHYAM KUMAR SAHU
BRANCH:-CSE(B)
SUBJECT:- DATABASE MANAGEMENT SYSTEMS
(PCC-CS601)
YEAR:-3𝑟𝑑 YEAR/6th SEM
UNIVERSITY ROLL NO:-12500121080

2. Database
Management Systems
A Database Management System (DBMS)
is a software system that provides an
interface for managing data. It allows
users to create, retrieve, update, and
manage data efficiently and securely.

3. Types of DBMS
Relational
Organizes data into
tables with rows and
columns. It's widely
used for its
simplicity and
flexibility.
Hierarchical
Represents
information in a
tree-like structure.
Useful for specific
applications and
industries.
Network
Utilizes a more
flexible way to
represent data
relationships,
suitable for complex
data structures.

4. Data Integrity in a DBMS
1 Data Accuracy
Ensuring that
the data
stored in the
database is
accurate and
reliable.
2 Data Validity
Maintaining
data
consistency and
ensuring it
adheres to
defined
standards.
3 Data Completeness
Guaranteeing
that all required
data is stored
without missing
parts.

5. Data Consistency in DBMS
99%
Data Accuracy
Striving for a 99% accuracy
rate in the data stored within the
system.
95%
Data Completeness
Maintaining at least 95%
completeness of data at all
times.

6. Data Security in DBMS
Encryption Protects sensitive data
through advanced encryption
algorithms.
Access Control
Regulates user access to
prevent unauthorized use or
changes to sensitive data.

7. Data Persistence in DBMS
Reliability
Ensuring data persists
over time without being
lost or corrupted.
Durability
Guaranteeing the storage
of data, retaining it
despite system failures
or crashes.

8. Non Redundancy in DBMS
Elimination of Duplicate Data
Efforts to remove redundancy and
ensure that each piece of data is
stored only once.
Normalization
Optimizing the database structure to
minimize data redundancy and dependency.

9. Independency in DBMS
1 Data Isolation
Ensuring that individual data is protected and
isolated from other parts of the system.
2 Decentralization
Implementing distributed databases to avoid relying
on a single centralized system.
3 Modularity
Designing the system to have independent and
reusable modules for data management.