Database Management Systems for SPPU 19 Course (TE - SEM V - Comp./AI&DS- 310241) (END SEM) (Decode)

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Syllabus Database Management Systems - (310241) Credit : Examination Scheme : 03 Mid-Sem (TH) : 30 Marks End-Sem (TH) : 70 Marks Unit I Introduction to Database Management Systems and ER Model Introduction, Purpose of Database Systems, Database-System Applications, View of data, Database Languages, Database System Structure, Data Models. Database Design and ER Model : Entity, Attributes, Relationships, Constraints, Keys, Design Process, Entity-Relationship Model, ER Diagram, Design Issues, Extended E-R Features, converting ER and EER diagram into tables. (Chapter - 1) Unit II SQL and PL/SQL SQL : Characteristics and Advantages, SQL Data Types and Literals, DDL, DML, DCL, TCL, SQL Operators. Tables : Creating, Modifying, Deleting, Updating. SQL DML Queries : SELECT Query and clauses, Index and Sequence in SQL. Views : Creating, Dropping, Updating using Indexes, Set Operations, Predicates and Joins, Set membership, Tuple Variables, Set comparison, Ordering of Tuples, Aggregate Functions, SQL Functions, Nested Queries. PL/SQL : Concept of Stored Procedures and Functions, Cursors, Triggers, Assertions, Roles and Privileges. (Chapter - 2) Unit III Relational Database Design Relational Model : Basic concepts, Attributes and Domains, CODD's Rules. Relational Integrity : Domain, Referential Integrities, Enterprise Constraints. Database Design : Features of Good Relational Designs, Normalization, Atomic Domains and First Normal Form, Decomposition using Functional Dependencies, Algorithms for Decomposition, 2NF, 3NF, BCNF. (Chapter - 3) Unit IV Database Transaction Management Introduction to Database Transaction, Transaction states, ACID properties, Concept of Schedule, Serial Schedule. Serializability : Conflict and View, Cascaded Aborts, Recoverable and Non-recoverable Schedules. Concurrency Control : Lock-based, Time-stamp based Deadlock handling. Recovery methods : Shadow-Paging and Log-Based Recovery, Checkpoints. Log-Based Recovery : Deferred Database Modifications and Immediate Database Modifications. (Chapter - 4) Unit V NoSQL Databases Introduction to Distributed Database System, Advantages, Disadvantages, CAP Theorem. Types of Data : Structured, Unstructured Data and Semi-Structured Data. NoSQL Database : Introduction, Need, Features. Types of NoSQL Databases : Key-value store, document store, graph, wide column stores, BASE Properties, Data Consistency model, ACID Vs BASE, Comparative study of RDBMS and NoSQL. MongoDB (with syntax and usage) : CRUD Operations, Indexing, Aggregation, MapReduce, Replication, Sharding. (Chapter - 5) Unit VI Advances in Databases Emerging Databases : Active and Deductive Databases, Main Memory Databases, Semantic Databases. Complex Data Types : Semi-Structured Data, Features of Semi-Structured Data Models. Nested Data Types : JSON, XML. Object Orientation : Object-Relational Database System, Table Inheritance, Object-Relational Mapping. Spatial Data : Geographic Data, Geometric Data. (Chapter - 6)

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Pages: 104 Edition: 2023 Vendors: Technical Publications