• Database Management System (DBMS): A Practical Approach
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Database Management System (DBMS): A Practical Approach

By Chopra Rajiv more
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Product Specifications

Publisher SChand Publications All MCA - Master of Computer Applications books by SChand Publications
ISBN 9789385676345
Author: Chopra Rajiv
Number of Pages 683
Edition Fifth Edition
Available
Available in all digital devices
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  • About the book
Database Management System (DBMS): A Practical Approach - Page 1 Database Management System (DBMS): A Practical Approach - Page 2 Database Management System (DBMS): A Practical Approach - Page 3 Database Management System (DBMS): A Practical Approach - Page 4 Database Management System (DBMS): A Practical Approach - Page 5

Database Management System (DBMS): A Practical Approach by Chopra Rajiv
Book Summary:

This comprehensive book, now in its Fifth Edition, continues to discuss the principles and concept of Database Management System (DBMS). It introduces the students to the different kinds of database management systems and explains in detail the implementation of DBMS. The book provides practical examples and case studies for better understanding of concepts and also incorporates the experiments to be performed in the DBMS lab. A competitive pedagogy includes Summary, MCQs, Conceptual Short Questions (with answers) and Exercise Questions.

This book is designed for B.E./B.Tech. students of Computer Science, Information Technology and Computer Science and Engineering. Besides, it will also be useful to the students of ECE, EEE, BCA and MCA.
Audience of the Book :
This book Useful for Computer Science Engineering Students.
Table of Content:

1. Introduction to DBMS

2. Relational Model, Languages and Systems

3. SQL

4. Normalization

5. Oracle 8 Architecture

6. Transaction Management

7. Concurrency Control Techniques

8. Recovery and Atomicity

9. Buffer Management

10. OODBMS — Object - Oriented DBMS

11. Parallel Databases

12. Web Databases

13. Advanced Topics in DBMS

14. Case Study — Data warehousing and Data Mining

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