Mastering Database Management Systems: From Fundamentals to Real-World Applications (Vol. 2)

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Mastering Database Management Systems: From Fundamentals to Real-World Applications (Vol. 2) is an advanced guide covering database recovery, file organization, indexing, distributed databases, NoSQL databases, MongoDB, database security, cloud databases, data warehousing, graph databases, AI-powered database systems, and modern enterprise database technologies. Designed for BCA, MCA, B.Tech, M.Tech, Computer Science students, software engineers, database administrators, and IT professionals, this book combines theory, practical SQL and MongoDB examples, real-world case studies, and industry-focused applications.

Description

Mastering Database Management Systems: From Fundamentals to Real-World Applications (Vol. 2)

In today’s data-driven world, modern organizations require database systems that are not only reliable but also scalable, secure, distributed, and capable of handling massive volumes of structured and unstructured data. As technologies such as cloud computing, artificial intelligence, big data, blockchain, and distributed systems continue to evolve, database professionals must understand advanced database concepts beyond traditional relational database management.

Mastering Database Management Systems: From Fundamentals to Real-World Applications (Vol. 2) builds upon the foundations established in Volume 1 by introducing readers to advanced database management techniques, modern NoSQL technologies, distributed databases, security mechanisms, cloud database platforms, data warehousing, graph databases, and next-generation database architectures.

The book begins by explaining database recovery techniques, transaction logging, checkpoints, shadow paging, and the ARIES recovery algorithm that enable reliable recovery from system failures. It then explores efficient data storage through file organization methods, indexing techniques, B-Trees, B+ Trees, hashing algorithms, and RAID storage architectures.

Readers are introduced to distributed database systems, including data fragmentation, replication, CAP theorem, BASE properties, and modern NoSQL databases such as MongoDB. Practical CRUD operations, document databases, graph databases, and industry case studies demonstrate how organizations manage large-scale distributed data.

Security remains one of the most critical aspects of database administration. This book provides a comprehensive understanding of authentication, authorization, role-based access control (RBAC), SQL injection prevention, encryption techniques, backup strategies, and disaster recovery planning for enterprise-grade database systems.

The final chapters introduce advanced technologies including Data Warehousing, OLAP, OLTP, Cloud Databases, Database as a Service (DBaaS), Graph Databases (Neo4j), Artificial Intelligence for Database Optimization, and Blockchain-based database systems, preparing readers for modern software development and enterprise database management.

Combining academic rigor with practical implementation, this book serves as an essential resource for students, researchers, software developers, database administrators, cloud engineers, and IT professionals seeking advanced expertise in Database Management Systems.


What You’ll Learn

✔ Database Recovery Techniques

✔ Database Failures

✔ Transaction Recovery

✔ Recovery Logs

✔ Checkpoints

✔ Deferred Update

✔ Immediate Update

✔ Shadow Paging

✔ ARIES Recovery Algorithm

✔ File Organization

✔ Storage Management

✔ Pages and Blocks

✔ Heap Files

✔ Sequential Files

✔ Hash File Organization

✔ Database Indexing

✔ Single-Level Index

✔ Multi-Level Index

✔ B-Tree

✔ B+ Tree

✔ Static Hashing

✔ Dynamic Hashing

✔ RAID Storage

✔ Distributed Databases

✔ Data Fragmentation

✔ Data Replication

✔ Data Allocation

✔ CAP Theorem

✔ BASE Properties

✔ NoSQL Databases

✔ MongoDB

✔ CRUD Operations

✔ Document Databases

✔ Key-Value Databases

✔ Column Databases

✔ Graph Databases

✔ Database Security

✔ User Authentication

✔ User Authorization

✔ SQL Injection Prevention

✔ Role-Based Access Control (RBAC)

✔ Database Encryption

✔ Backup and Disaster Recovery

✔ Data Warehousing

✔ Data Mining

✔ OLAP

✔ OLTP

✔ Cloud Databases

✔ Database as a Service (DBaaS)

✔ Artificial Intelligence with DBMS

✔ Blockchain Databases


Table of Contents

Chapter 7

Database Recovery Techniques

Chapter 8

File Organization and Indexing

Chapter 9

Distributed Databases and NoSQL

Chapter 10

Database Security and Authorization

Chapter 11

Advanced DBMS Concepts and Applications


Who Should Read This Book?

This book is ideal for:

  • BCA Students
  • MCA Students
  • B.Tech Students
  • M.Tech Students
  • Computer Science Students
  • Information Technology Students
  • Software Engineering Students
  • Database Administrators (DBA)
  • Database Developers
  • Backend Developers
  • Full Stack Developers
  • Data Engineers
  • Cloud Engineers
  • Big Data Professionals
  • Software Architects
  • Research Scholars
  • University Faculty
  • Technical Interview Aspirants
  • IT Professionals
  • Self-Learners

Key Features

✅ Complete coverage of advanced Database Management Systems

✅ Practical explanation of database recovery and transaction management

✅ Detailed study of indexing, B-Trees, hashing, and storage optimization

✅ Comprehensive introduction to distributed databases and NoSQL technologies

✅ Hands-on MongoDB concepts and CRUD operations

✅ Enterprise database security, authentication, authorization, and encryption

✅ Modern cloud databases, DBaaS, and distributed computing concepts

✅ Introduction to graph databases, AI-powered databases, and blockchain databases

✅ Industry case studies and practical implementation examples

✅ Suitable for university curricula, professional certification, software development, and database administration


Why This Book?

Modern applications generate enormous volumes of data that require highly available, secure, distributed, and scalable database systems. Traditional relational databases are no longer sufficient for every application, making it essential for students and professionals to understand distributed databases, NoSQL technologies, cloud-native architectures, and AI-assisted database management.

This book provides readers with both theoretical understanding and practical implementation strategies for advanced database technologies. By combining recovery mechanisms, storage optimization, security, cloud computing, and modern database platforms, it prepares readers for real-world software engineering challenges and enterprise database administration.

Whether you are preparing for university examinations, software development careers, database administration roles, technical interviews, or advanced research, this volume provides the knowledge and practical skills required to master modern Database Management Systems.


Book Details

Title: Mastering Database Management Systems: From Fundamentals to Real-World Applications (Vol. 2)

Author: Anshuman Mishra

Publisher: Anshuman Mishra

Publication Year: 2025

Language: English

Category: Database Management Systems, NoSQL, MongoDB, Cloud Computing, Computer Science, Information Technology, Software Engineering

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