Download Data Base Management Systems Study Materials 2020. In this article, we are going to provide the Study Notes for the School of Computer and Information Sciences. These Study Books will be useful for Engineering students. The concepts of are well explained Database Management Concepts, Structured Query Language (SQL), Application Development, etc in these materials. We provide genuine notes relating to the subject. Preparation becomes easy by learning from these materials. Candidates can download the notes by the links given below.
Other Links :
- Data and File Structures
- Operating Systems and Networking Management
- Object Oriented Technology and Java Programming
- Design and Analysis of Algorithms
Table of Contents
Data Base Management Systems Study Materials
|Name of the Subject||Data Base Management Systems|
|Category||School of Computer and Information Sciences (SOCIS)|
|Useful for||B.Tech in CSE, IT, MCA|
|Course Type||Under Graduation and Post Graduation Courses|
|Article on||Study Materials 2020|
|Study Material Format|
|Download Other Study Materials||Click Here|
DBMS Study Notes
|Data Base Management||Download|
Data Base Management Systems Study Books
|Data Base Management||Download|
Chapters & Topics
The Database Management System Concepts
- File Organisation in DBMS
- Database Integrity and Normalisation
- Relational and E-R Models
- Basic Concepts
Structured Query Language and Transaction Management
- Distributed and Client-Server Databases
- Database Recovery and Security
- Transactions and Concurrency Management
- The Structured Query Language
Application Development: Development of a Hospital Management System
- Development of a Hospital Management System (An HMS)
Study Centre Management System: A Case Study
Unit wise PDFs
Download Unit wise PDFs of Data Base Management Systems subject :
|The Database Management System Concepts||Download|
|Structured Query Language and Transaction Management||Click Here|
|Application Development: Development of a Hospital Management System||Click Here|
|Study Centre Management System: A Case Study||Click Here|
Subject in the Universities
This subject will be useful to the students who are pursuing a Master of Computer Applications (MCA), B.Tech in CSE & IT. The following university students can download Data Base Management Systems study materials :
- Malla Reddy College of Engineering and Technology
- Jawaharlal Nehru Technological University, Anantapur (JNTUK)
- Guru Jambheswar University
- Shri Vishnu Engineering College for Women
Subject in the Semesters
Data Base Management Systems subject will be studied by the students in the following semesters of their respective courses :
- B.Tech IT VI Semester
- CSE VI Semester
- MCA II Semester
We have mentioned some of the important topics of Data Base Management Systems study materials :
- Why would you choose a database system instead of simply storing data in operating system files? When would it make sense not to use a database system?
- What is logical data independence and why is it important?
- Explain the difference between logical and physical data independence.
- Explain the difference between external, internal, and conceptual schemas. How are these different schema layers related to the concepts of logical and physical data independence?
- What are the responsibilities of a DBA?
- Distinguish between logical and physical database design.
- Describe and define the key properties of a database system. Give an organizational example of the benefits of each property.
- Describe basic concepts of ER Model
- Describe components of a data model
- Describe basic constructs of E-R Modeling
- Describe data modeling as a part of database design process
- Describe steps in building the data model
- Describe developing the basic schema.
- Distinguish between data and information and Knowledge
- Distinguish between file processing system and DBMS
- Describe DBMS its advantages and disadvantages
- Describe Database users including database administrator
- Describe data models, schemas and instances.
- Describe DBMS Architecture & Data Independence
- Describe Data Languages.
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