Basic Concepts in Database Management Systems

Basic Concepts in Database Management Systems

Authors and Affiliations Pallavi Shingade Department of AI and Data Science D Y Patil College of Engineering - Vrushali Ravi More Department of Artificial Intelligence and Data Science G S Moze College of Engineering, Pune - Madhave Deorankar Electronics and Telecommunication Department Marathwada Mitra Mandal's College of Engineering, Pune - Tejaswini Mali Assistant Professor, AI&DS department ISBM College of Engineering, Nande, Pune - Nikita Khawase Assistant Professor, AI&DS department ISBM College of Engineering, Nande, Pune Book Summary Introduction to Database Management Systems (DBMS) is a comprehensive guide designed to equip readers with foundational and advanced knowledge of database systems. Chapter 1 introduces the concepts of databases and DBMS, explaining their purpose, importance, and the advantages over traditional file systems. Various types of databases, including hierarchical, network, relational, and object-oriented, are discussed, alongside essential components and database languages. Chapter 2 explores database architecture, detailing the three-level architecture (external, conceptual, and internal) and the significance of data abstraction and independence. Chapter 3 focuses on data models, defining their purpose and describing various types, such as hierarchical, network, relational, and object-oriented models, including the Entity-Relationship (ER) model. Chapter 4 delves into relational database concepts, covering primary keys, foreign keys, and normalization processes to ensure data integrity. Chapter 5 introduces SQL, emphasizing its importance in database management, along with various commands and functions. Chapter 6 discusses transaction management, highlighting the ACID properties and concurrency control mechanisms. Chapter 7 addresses database security, examining threats, authentication, authorization, and techniques for prevention. Chapter 8 outlines data storage and indexing, focusing on physical storage methods and the role of indexing in query optimization. Chapter 9 covers backup and recovery techniques, detailing the importance of data preservation and various recovery methods. Chapter 10 introduces distributed databases, discussing architecture, data fragmentation, and distributed transactions. Chapter 11 explores NoSQL databases, explaining their necessity, types, and use cases compared to traditional SQL databases. Chapter 12 highlights emerging trends in databases, such as cloud databases and big data concepts, while forecasting future technologies. Chapter 13 concludes with case studies and practical applications, providing real-world examples and exercises to enhance learning and application of database management principles.