CORE

Advanced Database System

24CSE674 · S6 · 4 credits

Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.

Syllabus

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⚡ DAY-BEFORE EXAM

Have an exam tomorrow?

Get a high-yield attack plan focused on maximum marks per minute. Zero fluff, strict PYQ priority, active recall, and trap avoidance.

1. How much time do you have remaining?

Strategy: High-yield concepts + PYQs + weak areas

2. Topic Prioritization (Highest Marks First)Tap a module to mark as weak

PRIORITY A

Module 1

Why:Foundation module

+ Mark Weak

PRIORITY A

Module 2

Why:High exam relevance

+ Mark Weak

PRIORITY B

Module 3

Why:Core module

+ Mark Weak

PRIORITY B

Module 4

Why:Applied concepts

+ Mark Weak

PRIORITY C

Module 5

Why:Standard exam coverage

+ Mark Weak

Modules

Module 01Distributed Databases (5 hrs)expand

Distributed Database concepts, Distributed Databases vs. Conventional Databases, Types of Distributed Database systems, Distributed Database Architectures, Data Fragmentation, Replication and Allocation techniques for distributed database design, Distributed Catalog Management.

Module 02Query Processing and Optimization (7 hrs)expand

Complex SQL Queries, Query Processing Algorithms – Query Optimization Techniques, Transaction Management- Transaction Processing Concepts, Concurrency Control, Deadlocks, Recovery Techniques.

Module 03Database Security (7 hrs)expand

Introduction to Database Security Issues-Types of Security, Control Measures, Database Security and the DBA, Access Control, User Accounts, and Database Audits, Discretionary Access Control, Mandatory Access control (Role based only), SQL Injection, Challenges of database security.

Module 04Multimedia Databases (6 hrs)expand

Multimedia Databases- Data Formats, Continuous Media Data, Similarity Based Retrieval, Mobile Data Management- Mobile Computing Architecture, Data Management Issues, Location Based Services, Peer to Peer Systems and Applications, Application Platforms.

Module 05Emerging trends in Database management (8 hrs)expand

Big Data – Motivation, Sources and Uses of Big Data, Querying Big Data, Big Data Storage Systems- Distributed File Systems, Sharding, Key Value Storage Systems, Blockchain Databases-Overview, Blockchain Properties, Simple Blockchain Transactions, Data Management in a Blockchain, Emerging Applications.

Notes / Resources

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