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B.Tech Course for Academic Year 2026-27
B.Tech Course for Academic Year 2026-27
Course Materials (PPTs/PDFs/Handouts):
Course Materials (PPTs/PDFs/Handouts):
Introduction to Modern Databases:
Document-Oriented Databases β MongoDB:
Introduction to MongoDB [ PDF ]
Overview of MongoDB as a Document-Oriented Database.
Installing MongoDB.
Introduction to MongoDB Compass (GUI) and Mongo Shell.
Document-Oriented Data Handling.
Work with JSON, XML.
Query JSON/XML using inbuilt functions.
Columnar and Distributed Databases β Cassandra:
Introduction to Cassandra [ PDF ]
Install Cassandra.
Create key space and table.
Perform CRUD operations.
Distributed DB Design:
Perform fragmentation (Range, List, Hash, Key).
Simulate replication and allocation.
Document-Oriented Data Handling:
Work with JSON, XML.
Query JSON/XML using inbuilt functions.
Query Optimization & Processing:
View Query Execution Plan.
Optimize queries using heuristics.
Object-Oriented Database with DB4O:
Store Java objects.
Retrieve objects and update DB.
Spatial & Temporal Data Handling:
Store valid/transaction time data.
Process spatial (vector/raster) data.
Spatial & Temporal Data Visualization:
Use tools like MongoDB Charts / Google Maps APIs.
Representation of geo/time data.
Graph Databases:
Install Neo4j.
Create nodes and relationships.
Query using Cypher.
Vector DB:
Vector indexing.
Similarity search example app.
Ethical & Legal Issues in Modern Databases:
Explore Real-World Data Breaches.
Policy Analysis Activity.
Design a Privacy-Compliant Database Schema.
Mini Project
Explore an emerging databse technology such as a Graph or Vector database.
Design a small use-case to demonstrate its core concept or application.
Analyze its features, benefits, and limitations in comparison to traditional models.
Lab ExperimentsΒ π»Β π» π»Β π» π»Β π» π»Β π» π» π»
Lab ExperimentsΒ π»Β π» π»Β π» π»Β π» π»Β π» π» π»
Guidelines for writing Lab Experiments - Jan 2023 [ PDF ]
Introduction to Modern Databases:
Overview of emerging database paradigms
E.g. Document, Columnar, Graph, Object-oriented, Vector DBs.
Use-case-based classification of databases.
Document-Oriented Databases β MongoDB:
Overview of MongoDB as a Document-Oriented Database.
Installing MongoDB.
Introduction to MongoDB Compass (GUI) and Mongo Shell.
Document-Oriented Data Handling.
Work with JSON, XML.
Query JSON/XML using inbuilt functions.
Lab: To perform NoSQL database using mongodb to create, update and insert.
Columnar and Distributed Databases β Cassandra:
Introduction to Cassandra.
Install Cassandra.
Create key space and table.
Perform CRUD operations.
Distributed DB Design:
Perform fragmentation (Range, List, Hash, Key).
Simulate replication and allocation.
Document-Oriented Data Handling:
Work with JSON, XML.
Query JSON/XML using inbuilt functions.
Query Optimization & Processing:
View Query Execution Plan.
Optimize queries using heuristics.
Object-Oriented Database with DB4O:
Store Java objects.
Retrieve objects and update DB.
Spatial & Temporal Data Handling:
Store valid/transaction time data.
Process spatial (vector/raster) data.
Spatial & Temporal Data Visualization:
Use tools like MongoDB Charts / Google Maps APIs.
Representation of geo/time data.
Graph Databases:
Install Neo4j.
Create nodes and relationships.
Query using Cypher.
Vector DB:
Vector indexing.
Similarity search example app.
Ethical & Legal Issues in Modern Databases:
Explore Real-World Data Breaches.
Policy Analysis Activity.
Design a Privacy-Compliant Database Schema.
Mini Project
Explore an emerging databse technology such as a Graph or Vector database.
Design a small use-case to demonstrate its core concept or application.
Analyze its features, benefits, and limitations in comparison to traditional models.
Lab ManualΒ π π π π π π π π π π
Lab ManualΒ π π π π π π π π π π
Sample Gray Scale 8-bit BMP Images for experiment [ IMAGE FOLDER ]
Guidelines for writing DL Lab Experiments - Jan 2023 [ PDF ]
Machine Learning using Python = Lab Manual - July 2020 [ PDF ]
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