Database Management Systems, 2023-24 (Spring)


Database system architecture: Data Abstraction, Data Independence, Data Definition and Data Manipulation Languages. Data models: Entity-relationship, relational and object oriented data models, integrity constraints and data manipulation operations. Relational query languages: Relational algebra, tuple and domain relational calculus, SQL. Relational database design: Domain and data dependency, Armstrong axioms, normal forms, dependency preservation, lossless design. Query processing and optimization: Evaluation of relational algebra expressions, query equivalence, join strategies, query optimization algorithms. Storage strategies: Indices, B-trees, hashing. Transaction processing: Recovery and concurrency control, locking and timestamp based schedulers, multiversion and optimistic concurrency control schemes. Advanced topics: Objectoriented and object relational databases, logical databases, web databases, distributed databases, data warehousing and data mining.

Text/Reference Books

  1. Abraham Silberschatz, Henry Korth, and S. Sudarshan, Database System Concepts, McGraw Hill.
  2. Raghu Ramakrishnan, Database Management Systems, WCB/McGraw Hill.
  3. Bipin Desai, An Introduction to Database Systems, Galgotia.
  4. J. D. Ullman, Principles of Database Systems, Galgotia.
  5. R. Elmasri and S. Navathe, Fundamentals of Database Systems, Addison-Wesley.
  6. Serge Abiteboul, Richard Hull and Victor Vianu, Foundations of Databases. AddisonWesley.