Overview

A database management system (DBMS) is a collection of programs that enable users to create and maintain a database; it also consists of a collection of interrelated data and a set of programs to access that data. Hence, a DBMS is a general-purpose software system that facilitates the processes of defining, constructing, and manipulating databases for various applications. The primary goal of a DBMS is to provide an environment that is both convenient and efficient to use in retrieving and storing database information. It is an interface between the user of application programs, on the one hand, and the database, on the other. The objective of Database Management System: An Evolutionary Approach, is to enable the learner to grasp a basic understanding of a DBMS, its need, and its terminologies discern the difference between the traditional file-based systems and a DBMS code while learning to grasp theory in a practical way study provided examples and case studies for better comprehension This book is intended to give under- and postgraduate students a fundamental background in DBMSs. The book follows an evolutionary learning approach that emphasizes the basic concepts and builds a strong foundation to learn more advanced topics including normalizations, normal forms, PL/SQL, transactions, concurrency control, etc. This book also gives detailed knowledge with a focus on entity-relationship (ER) diagrams and their reductions into tables, with sufficient SQL codes for a more practical understanding.

Full Product Details

Author:   Jagdish Chandra Patni (UPES Dehradun) ,  Hitesh Kumar Sharma ,  Ravi Tomar (UPES, Dehradun) ,  Avita Katal (UPES)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.503kg
ISBN:  

9780367244934

ISBN 10:   0367244934
Pages:   229
Publication Date:   27 January 2022
Audience:   Professional and scholarly ,  General/trade ,  Professional & Vocational ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Basics of Database. 1.1 Introduction and History of Database. 1.2 Data and Information. 1.3 Database. 1.4 Need for a Database. 1.5 File based database management system. 1.6 Database System. 1.7 Database System components. 1.8 Database Management System Services. 1.9 Database Characteristics. 1.10 Advantages of Database. 1.11 Limitations of Database. Case Studies. Summary. Review Questions. References. 2. Data models and Architecture of DBMS. 2.1 Evolution of Data Model. 2.2 Hierarchical Database Model. 2.3 Network Data Model. 2.4 Relational Database Model. 2.5 Object Oriented Data Model. 2.6 Object Relational Data Model. 2.7 Three Level Architecture of Database. 2.8 Data Independence. 2.9 Database Languages. Summary. Review Questions. References. 3. Relational Database Management System (RDBMS). 3.1 Difference Between RDBMS and DBMS. 3.2 Features of RDBMS. 3.3 Advantages of RDBMS. 3.4 Disadvantages of RDBMS. 3.5 Examples of RDBMS. 3.6 RDBMS Terminologies. 3.7 Keys in Database. 3.8 Integrity Constraints in DBMS. 3.9 Relational Algebra. 3.10 Structured Query Language (SQL). 3.11 CODD’s Twelve Rules of Relational Database. 3.12 Database Development Life Cycle. Summary. Case Studies. Review Questions. References. 4. Entity Relationship Model. 4.1 Entity Relationship Diagram. 4.2 Components of a ER Diagram. 4.3 Participation Constraints. 4.4 Strong and Weak Relationship. 4.5 Handling Many to Many Relationship. 4.6 Example of E-R Model. 4.7 Enhanced Entity-Relationship Model. 4.8 Reduction of ER Diagram to Relational model. Summary. Review Questions. References. 5. Normalization. 5.1 Introduction Normalization –A bottom up approach. 5.2 Need for Normalization. 5.3 Types of Dependencies. 5.4 First Normal Form. 5.5 Second Normal Form. 5.6 Third Normal Form. 5.7 Boyce-Codd Normal Form. 5.8 Multi-valued Dependency. 5.9 Join Dependency. 5.10 Lossless and Lossy Decompositions. Summary. Review Questions. References. 6. Managing Data Using Structured Query Language (SQL). 6.1 Introduction to SQL. 6.2 Data Definition Commands. 6.3 Data Manipulation Language (DML). 6.4 Data Control Language. 6.5 Transaction Control Language (TCL). 6.6 Data Query Language (DQL). 6.7 Aggregate Functions. 6.8 Date and Time Functions. 6.9 String Functions. 6.10 Conversion Functions. 6.11 Mathematical Functions. 6.12 Special Operators. 6.13 Types of Constraints. 6.14 Sub Query. Summary. Review Question. References. 7. Introduction to PL/SQL. 7.1 Variable and Constants. 7.2 Data Types. 7.3 PL/SQL Literals. 7.4 Control Statement. 7.5 PL/SQL case statement. 7.6 PL/SQL Loop. 7.7 PL/SQL Continue statement. 7.8 PL/SQL GOTO statement. 7.9 PL/SQL Procedure and Functions. 7.10 PL/SQL cursor. 7.11 PL/SQL Exception. 7.12 PL/SQL Exception Handling. 7.13 PL/SQL Triggers. Summary. Review Questions. References. 8. Transaction Management in Database. 8.1 Definition of Transaction. 8.2 Properties of Transaction. 8.3 States of Transactions. 8.4 Schedule. 8.5 Serializability. 8.6 Recoverable Schedules. 8.7 Concurrency Control. 8.8 Concurrency Control Mechanism. 8.9 Database Back UP and Recovery. 8.10 Security, Integration and Authorization. Summary. Review Questions. References.

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Jagdish Chandra Patni, Hitesh Kumar Sharma, Ravi Tomar, Avita Katal

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