DATABASE MANAGEMENT SYSTEM ORACLE SQL AND PL/SQL

by PRANAB KUMAR DAS GUPTA, P. RADHA KRISHNA

Overview

Database Management System (DBMS) and Oracle are an essential part of the curriculum for undergraduate and postgraduate courses in computer science, computer applications, computer science and engineering, information technology and management. The book is organised into three parts to introduce theoretical and programming concepts of DBMS. Part I (Basic Concepts and Oracle SQL) deals with DBMS basic, software analysis and design, data flow diagrams, ER models, relational algebra, normal forms, SQL queries, functions, subqueries, different types of joins, DCL, DDL, DML, object constraints and security in Oracle. Part II (Application Using Oracle PL/SQL) explains PL/SQL basics, functions, procedures, packages, exception handling, triggers, implicit, explicit and advanced cursors using suitable examples. This part also covers advanced concepts related to PL/SQL, such as collection, records, objects, dynamic SQL and performance tuning. Part III (Advanced Concepts and Technologies) elaborates on advanced database concepts such as query processing, file organisation, distributed architecture, backup, recovery, data warehousing, online analytical processing and data mining concepts and their techniques. New to the Second EditionThe book reorganised into three parts for better understanding of DBMS concepts. All the existing chapters thoroughly revised and eight new chapters added. New chapters discuss Oracle PL/SQL advanced programming concepts, data warehousing, OLTP, OLAP and data mining concepts. Additional examples, questions and workouts in each chapter. Key FeaturesExplains each topic in step-by-step detail. Includes about 300 examples to illustrate concepts. Offers about 400 objective type questions to test students on key points. Provides about 100 challenging workouts that invite deeper analysis and interpretation of the subject matter. Teaching Aid Material for all the chapters is provided on PHI Learning's website, which can be used by faculties/teachers for delivering lectures. Visit www.phindia.com/gupta to explore the contents.

Product Details

ISBN-13:	9788120348424
Publisher:	PHI Learning
Publication date:	10/18/2013
Sold by:	Barnes & Noble
Format:	eBook
File size:	9 MB

About the Author

PRANAB KUMAR DAS GUPTA, Ph.D., is a Senior Scientist in Defence Research and Development Organization (DRDO). Presently, he is Additional Director in Computer and Communication Wing at Proof and Experimental Establishment, Chandipur. His expertise in development, execution and implementation of projects has immensely helped his organization. A large number of students have completed their project work under his guidance and have been placed in reputed industries and multinational companies. Dr. Das Gupta is also the author of three other books entitled Developing Web Applications Using ASP.NET and Oracle (second edition), Cloud Computing-based Projects Using Distributed Architecture and Oracle Developer 2000: Basics to Implementation, all published by PHI Learning, New Delhi.

Table of Contents

Preface • Acknowledgements Part I: Database Management System: Basic Concepts and Oracle SQL—1. Database Basics, Software Analysis and Design, Data Flow Diagram and ER Model. 2. Relational Algebra and Normal Forms. 3. Sql Basics, Functions, Sub Query and Joins. 4. Data Manipulation Language, Objects, Constraints and Security in Oracle. Part II: Database Management System: Application Using Oracle PL/SQL—5. Introduction to Pl/Sql Programming. 6. Oracle Function, Procedure and Package. 7. Oracle Exception Handler and Database Triggers. 8. Implicit and Explicit Cursors. 9. Advance Cursors. 10. PL/SQL Collections and Records. 11. Oracle Objects and Dynamic SQL. 12. PL/SQL Optimization Techniques. Part III: Database Management System: Advanced Concepts and Technologies—13. Query Processing, File Organization, and Distributed Processing. 14. Transaction Processing, Concurrency Control, Oracle Architecture, Backup and Recovery. 15. Data Warehousing. 16. Online Analytical Processing and Materialized Views. 17. Data Mining Overview. 18. Data Mining Techniques. Appendix A: Advanced Databases • Appendix B: Answers • Index.