Distributed Database Architecture

The book Distributed Database Architecture discusses various topics related to the database architecture. The technology of database management is a very commonly used one nowadays and is the basis of many tech-businesses. The book takes the readers through the various aspects of the distributed database architecture, the way in which it is designed and th manner in which it is brought to use. The book can be used a good source of information by the various IT professionals or aspiring the data analysts. Cover Title Page Copyright ABOUT THE AUTHOR TABLE OF CONTENTS Glossary List of Figures List of Tables List of Abbreviations Preface Chapter 1 Introduction to Distributed Database Systems 1.1. Introduction 1.2. Characteristics Of Distributed Database Systems 1.3. Advantages Of Distributed Database Systems 1.4. Disadvantages Of Distributed Database Systems 1.5. Problem Areas In Ddbms 1.6. Types Of Distributed Database Systems 1.7. Database Technology 1.8. Data As A Resource 1.9. Dbms Architecture 1.10. Components Of A Dbms 1.11. Approaches To Classify Databases 1.12. Hierarchical And Network Dbmss 1.13. Database Design And Normalization 1.14. Transactions 1.15. Concurrency Control Techniques 1.16. Integrity Constraints 1.17. Integrity Issues In Distributed Databases 1.18. Security In Centralized Dbmss 1.19. Strong Authentication 1.20. Proxy Authentication And Authorization 1.21. Database Control 1.22. Encryption 1.23. Distributed Dbms Reliability 1.24. Conclusion References Chapter 2 Concepts of Relational Databases 2.1. Introduction 2.2. Rdbms: Meaning 2.3. Structuring Of Relational Databases 2.4. The Relational Model 2.5. Representing Relations 2.6. Relational Vs. Non-Relational Database 2.7. Referential Integrity 2.8. Benefits Of Relational Databases 2.9. Considerations For Selection of Database 2.10. The Relational Database of The Future: The Self-Driving Database 2.11. Conclusion References Chapter 3 Overview of Computer Networking 3.1. Introduction 3.2. Computer Network 3.3. Computer Networking 3.4. Computer Network Components 3.5. Some Protocols For Computer Networking 3.6. Types of Network 3.7. Internetwork 3.8. Conclusion References Chapter 4 Principles of Distributed Database Systems 4.1. Introduction 4.2. Distributed Database Design 4.3. Database Integration 4.4. Data Security 4.5. Types Of Transactions 4.6. Workflows 4.7. Integrity Constraints In Distributed Databases 4.8. Distributed Query Processing 4.9. Conclusion References Chapter 5 Distributed Objects Database Management 5.1. Database And Database Management System 5.2. Database Schemas 5.3. Different Kinds of Systems 5.4. Distributed Dbms 5.5. Object-Oriented Database Management System 5.6. Popular Object Databases 5.7. Object Management Process, Issues, and Application Examples 5.8. Conclusion References Chapter 6 Client or Server Database Architecture 6.1. Introduction 6.2. Working of Client-Server Architecture 6.3. Client And Server Characteristics 6.4. Advantages And Drawbacks Of Client-Server Architecture 6.5. Client-Server Architecture Types 6.6. Concept of Middleware In Client-Server Model 6.7. Thin Client/Server Model 6.8. Thick Client/Server Model 6.9. Services Of Client-Side In C/S Architecture 6.10. Services Of Server-Side In C/S Architecture 6.11. Remote Procedure Call 6.12. Security Of Client-Server Architecture 6.13. Conclusion References Chapter 7 Database Management System: A Practical Approach 7.1. Introduction 7.2. Components of a Database 7.3. Database Management System 7.4. The Relational Model 7.5. Functional Dependency and Normalization 7.6. De Normalization 7.7. Structured Query Language (SQL) 7.8. Query by Example (QBE) 7.9. Database Recovery System 7.10. Query Processing 7.11. Query Optimization 7.12. Database Tuning 7.13. Data Migration 7.14. Conclusion References Chapter 8 Data Warehousing And Data Mining 8.1. Introduction 8.2. Characteristics of Data Warehouse And Data Mining 8.3. Working Process of Data Warehouse 8.4. Working Process of Data Mining 8.5. Advantages of Data Warehouse And Data Mining 8.6. Limitations of Data Warehouse And Data Mining 8.7. Olap Vs Oltp 8.8. Automatic Clustering Detection 8.9. Data Mining With Neural Networks 8.10. Conclusion References Index Back Cover