Advanced Data Base Management Systems Study Materials 2020 – Download Units & Chapters

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Download Advanced Data Base Management Systems Study Materials 2020. In this article, we are going to provide the Study Notes for School of Computer and Information Sciences (SOCIS). Advanced DBMS is one of the subjects in the courses of CSE & IT. Here we provide the materials for the important concepts of etc. Download the Study Books, Important Questions of this subject from Exams Time website for better preparation. Unit wise PDFs are also provided below.

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Advanced Data Base Management Systems Study Materials

Advanced Data Base Management Systems Study Materials

Name of the Subject Advanced 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 PDF
Download Other Study Materials Click Here

Advanced DBMS Study Books

Subject  Download Links 
DCN Download 
Click Here 
Download 

Chapters & Topics

DataBase Design and Implementation

  • Relational Database Design
  • Database Implementation and Tools
  • Advanced SQL
  • Database System Catalogue

DBMS Advanced Features and Distributed Database

  • Query Processing and Evaluation
  • Transaction Management and Recovery
  • Database Security and Authorisation
  • Distributed Database

Enhanced Database Models

  • Object Oriented Database
  • Database and XML
  • Introduction to Data Warehousing
  • Introduction and Data Mining

Emerging Trends and Example DBMS Architectures

  • Emerging Database Models, Technologies and Applications-I
  • Emerging Database Models, Technologies and Applications-II
  • PostgreSQL
  • Oracle

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 & ITThe following university students can download Advanced 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
  • Biju Patnaik University
  • Lovely Professional University
  • IGNOU

Subject in the Semesters

Advanced Data Base Management Systems subject will be studied by the students in the following semesters of their respective courses :

  • B.Tech IT VII  Semester
  • CSE VII Semester
  • MCA V Semester

Unit wise PDFs

Download Unit wise PDFs of Advanced Data Base Management Systems subject :

Units  Download Links 
Database Design and Implementation Download 
DBMS Advanced Features and Distributed Database Click Here 
Enhanced Database Models Click Here 
Emerging Trends and Example DBMS Architectures Click Here 

Important Questions

We have mentioned some of the important topics of Advanced Data Base Management Systems study materials :

  • Define the system catalogue and its content?
  • Describe the use of catalogue in a commercial DBMS?
  • Define the data dictionary system and its advantages and disadvantages?
  • Define the role of catalogue in system administration.
  • Define Assertions and explain how they can be used in SQL?
  • Explain the concept of views, SQL commands on views and updates on views?
  • Define and use Cursors?
  • Explain Dynamic SQL and SQLJ.
  • Define the role of database in an organization’s information system?
  • Define a good database design?
  • Describe functional dependency and normalization;
  • Explain the multi-valued dependency and 4NF?
  • Define join dependency and 5NF?
  • Define inclusion dependencies and Template Dependency.
  • Define temporal data.
  • Describe distributed commit protocols.
  • Explain concurrency management in distributed database systems?
  • Explain the concept of replication servers.
  • Define transaction processing?
  • Explain the process of deadlock handling in DBMS?
  • Define the buffer management system of the DBMS?
  • Explain what is data mining?
  • Define the different approaches to data mining?

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