CS3492 DATABASE MANAGEMENT SYSTEMS ANNA UNIVERSITY SYLLABUS
CS3492 DATABASE MANAGEMENT SYSTEMS SYLLABUS
CS3492 DATABASE MANAGEMENT SYSTEMS L T P C 3 0 0 3
• To learn the fundamentals of data models, relational algebra and SQL
• To represent a database system using ER diagrams and to learn normalization techniques
• To understand the fundamental concepts of transaction, concurrency and recovery processing
• To understand the internal storage structures using different file and indexing techniques which will help in physical DB design
• To have an introductory knowledge about the Distributed databases, NOSQL and database security
UNIT I RELATIONAL DATABASES 10
Purpose of Database System – Views of data – Data Models – Database System Architecture – Introduction to relational databases – Relational Model – Keys – Relational Algebra – SQL fundamentals
– Advanced SQL features – Embedded SQL– Dynamic SQL
UNIT II DATABASE DESIGN 8
Entity-Relationship model – E-R Diagrams – Enhanced-ER Model – ER-to-Relational Mapping – Functional Dependencies – Non-loss Decomposition – First, Second, Third Normal Forms, Dependency
Preservation – Boyce/Codd Normal Form – Multi-valued Dependencies and Fourth Normal Form – Join Dependencies and Fifth Normal Form
UNIT III TRANSACTIONS 9
Transaction Concepts – ACID Properties – Schedules – Serializability – Transaction support in SQL – Need for Concurrency – Concurrency control –Two Phase Locking- Timestamp – Multiversion – Validation and Snapshot isolation– Multiple Granularity locking – Deadlock Handling – Recovery Concepts – Recovery based on deferred and immediate update – Shadow paging – ARIES Algorithm
UNIT IV IMPLEMENTATION TECHNIQUES 9
RAID – File Organization – Organization of Records in Files – Data dictionary Storage – Column Oriented Storage– Indexing and Hashing –Ordered Indices – B+ tree Index Files – B tree Index Files – Static Hashing – Dynamic Hashing – Query Processing Overview – Algorithms for Selection, Sorting and join operations – Query optimization using Heuristics – Cost Estimation.
UNIT V ADVANCED TOPICS 9
Distributed Databases: Architecture, Data Storage, Transaction Processing, Query processing and optimization – NOSQL Databases: Introduction – CAP Theorem – Document Based systems – Key value Stores – Column Based Systems – Graph Databases. Database Security: Security issues – Access control based on privileges – Role Based access control – SQL Injection – Statistical Database security – Flow control – Encryption and Public Key infrastructures – Challenges
Upon completion of this course, the students will be able to CO1:Construct SQL Queries using relational algebra
CO2:Design database using ER model and normalize the database
CO3: Construct queries to handle transaction processing and maintain consistency of the database
CO4: Compare and contrast various indexing strategies and apply the knowledge to tune the performance of the database
CO5: Appraise how advanced databases differ from Relational Databases and find a suitable database for the given requirement.
- Abraham Silberschatz, Henry F. Korth, S. Sudharshan, “Database System Concepts”, Seventh Edition, McGraw Hill, 2020.
- Ramez Elmasri, Shamkant B. Navathe, “Fundamentals of Database Systems”, Seventh Edition, Pearson Education, 2017
- C.J.Date, A.Kannan, S.Swamynathan, “An Introduction to Database Systems”, Eighth Edition, Pearson Education, 2006.
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