MongoDB Assignment

Design a MongoDB database with at least two collections that contain related documents. You must:

1. Create a minimum of 10 documents per collection.

2. Demonstrate at least 15 queries, covering:

ü Basic CRUD operations (insert, update, delete, find).

ü Aggregation Framework (e.g., $group, $match, $sort, $limit).

ü Data validation (using MongoDB schema validation techniques).

Extra Marks Will Be Awarded For:

ü Using document relationships (e.g., using _id references or embedded documents).

ü Real-time data ingestion (e.g., streaming IoT sensor data, stock prices, or Twitter API data).

ü Indexing Strategies (e.g., creating indexes on frequently queried fields).

ü Joins using $lookup to relate data across collections.

ü Sharding (demonstrating how MongoDB distributes data across servers).

Report: Create a report discussing your project, covering the following:

ü Brief background/context

ü Discuss the Dataset/Data used

ü Screenshots of queries and output

ü Discuss your main queries, and any extra implementations such as joins, document relationships, indexing etc.

Screencast Presentation of Your Assignment

Create an MP4 video (max 4 minutes) with voice-over, presenting your MongoDB work.

Your video should include:

1. Overview of your MongoDB database – describe the collections and document structures.

2. Demo of your key MongoDB queries – show execution in the MongoDB shell.

Use Screencast-O-Matic (or similar tools) to record your video.

Submission Instructions:

Upload your report as “StudentNumber_MongoDB.docx”, your Mongo queries in a separate word doc, and the screencast to Moodle under Upload area.

You must also submit a signed A1 plagiarism form for this assignment.

Final Notes:

· Ensure you provide clear screenshots for all MongoDB queries.

· Add complexity to MongoDB queries for higher marks.