Advanced Database Management System
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Follow on Instagram for UpdatesAdvanced Database Management System Syllabus — Unit-wise Content
The official GTU curriculum for Advanced Database Management System (subject code BE05016031) as prescribed for Information Technology · Semester 5 divides the course into 5 units, covering 50 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE05016031)Unit 1 Database Architecture
- Introduction to Client–Server Database Models: Overview of client–server architecture
- including two-tier and three-tier client– server database models.
- Concurrency Control Techniques: Study of concurrency control mechanisms
- including lock-based protocols
- lock granting methods, and the two-phase locking protocol
- Introduction to Parallel Databases: Concepts of parallel database systems
- parallel database system architecture
- types of parallelism, and parallel database implementation strategies.
- Introduction to Distributed Databases: Fundamentals of distributed database systems
- distributed database architecture
- advantages of distributed databases, and issues and challenges associated with distributed database systems
Unit 2 Object-Based Databases and XML
- Overview of Object-Based Databases
- Complex Data Types
- Structured Types and Inheritance in SQL, Table Inheritance
- Array and Multiset Types in SQL, Object Identity (OI) and Reference Types in SQL, XML: Introduction and Structure of XML Data
- XML Document Schema
- XQuery (FLWOR Expressions)
- Nested Queries
- Aggregate Functions, and User-Defined Functions
Unit 3 Advanced Database Techniques
- Structured Vs Unstructured Data
- NoSQL Database Concepts: Types of NoSQL databases
- NoSQL data modeling
- advantages of NoSQL databases, and comparison between SQL and NoSQL database systems
- NoSQL Using MongoDB: Introduction to MongoDB
- MongoDB Shell
- MongoDB Client
- basic operations
- basic data types
- arrays, and embedded documents
- Querying with MongoDB: find() function
- projection of fields
- query criteria
- OR queries, and type-specific querying
- Aggregation Concepts: Introduction to aggregation pipeline
- aggregation using MapReduce, and single- purpose aggregation operations
Unit 4 Advance transaction Processing
- Basics of transaction and ACID properties
- Transaction processing monitors- architecture
- transactional workflows
- workflow architectures
- Recovery of workflow
- Real-time transaction systems
- Long duration transactions
- Implementation issues-nesting
Unit 5 Modern developments in database technologies
- Introduction to Data Mining Techniques: Data mining technology and its relationship with data warehousing
- association rules
- clustering, and applications of data mining
- Introduction to Business Intelligence: Features
- frameworks, and types and approaches for machine learning
- Introduction to Multimedia Databases
- Mobile Databases, and Digital Databases
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