My Experience on NoSQL Data Analysis Using Dataset From Kaggle

``# 🧩 MongoDB Atlas: Insert, Query, Update, Delete, and Export Data

Author: NAVEEN GOKUL S
Date: November 2025
Topic: Data Engineering Assignment — MongoDB CRUD Operations

---

🗂️ Step 1: Setting up MongoDB Atlas

1. Go to MongoDB Atlas.
2. Create a free cluster (use the Shared Tier option).
3. Under Network Access, add your IP:

• Click Network Access → Add IP Address → Allow access from anywhere (0.0.0.0/0).
  1. Create a database user and remember the credentials. Example:

`
Username: 22cs098
Password: NAVEEN
`

1. Once your cluster is ready, click “Connect → Connect using MongoDB Shell” and copy the connection string.

---

💻 Step 2: Connect from Mongo Shell

Open PowerShell or Command Prompt, then run:

`bash
mongosh "mongodb+srv://m0.wpjmxqh.mongodb.net/" --apiVersion 1 --username 22cs098_db_user
`

Then enter your password when prompted:

`
Enter password: NAVEEN
`

If connection succeeds, you’ll see:

`
Atlas atlas-xxxx-shard-0 [primary]>
`

---

📥 Step 3: Create a Database and Insert Records

Switch to a database (it will auto-create):

`javascript
use businessDB
`

Insert 10 sample business review records:

`javascript
db.reviews.insertMany([
{ "business_id": "B001", "name": "Cafe Aroma", "rating": 4.6, "review": "Good food and fast service!", "date": "2025-11-07" },
{ "business_id": "B002", "name": "Pizza Palace", "rating": 4.8, "review": "Amazing crust and cheese quality!", "date": "2025-11-07" },
{ "business_id": "B003", "name": "Tea Time", "rating": 4.2, "review": "Nice ambience and friendly staff.", "date": "2025-11-07" },
{ "business_id": "B004", "name": "Sweet Treats", "rating": 3.9, "review": "Desserts were good but service was slow.", "date": "2025-11-07" },
{ "business_id": "B005", "name": "Veggie Delight", "rating": 4.1, "review": "Healthy food with good taste.", "date": "2025-11-07" },
{ "business_id": "B006", "name": "Burger Hub", "rating": 4.9, "review": "Best burgers ever!", "date": "2025-11-07" },
{ "business_id": "B007", "name": "Ocean Dine", "rating": 4.7, "review": "Fresh seafood and great view.", "date": "2025-11-07" },
{ "business_id": "B008", "name": "Spice Route", "rating": 3.8, "review": "Food was okay, but spicy.", "date": "2025-11-07" },
{ "business_id": "B009", "name": "Bakers Street", "rating": 4.5, "review": "Good pastries and coffee.", "date": "2025-11-07" },
{ "business_id": "B010", "name": "Quick Bite", "rating": 4.0, "review": "Good service and clean place.", "date": "2025-11-07" }
])
`

---

🔍 Step 4: Queries

🏆 4.1 Top 5 Businesses by Rating

`javascript
db.reviews.find().sort({ rating: -1 }).limit(5)
`

🔤 4.2 Count of Reviews Containing “good”

`javascript
db.reviews.countDocuments({ review: /good/i })
`

🏪 4.3 Get Reviews for a Specific Business ID

`javascript
db.reviews.find({ business_id: "B005" })
`

---

✏️ Step 5: Update and Delete

✏️ Update a Review

`javascript
db.reviews.updateOne(
{ business_id: "B005" },
{ $set: { rating: 4.3, review: "Updated: Great taste and fresh ingredients!" } }
)
`

🗑️ Delete a Record

`javascript
db.reviews.deleteOne({ business_id: "B010" })
`

---

📤 Step 6: Export Data to JSON/CSV

Exit Mongo shell:

`bash
exit
`

Then run the following from PowerShell (not inside mongosh) 👇

📄 Export as CSV

`bash
mongoexport --uri="mongodb+srv://22cs098_db_user:[e-mail]/businessDB" --collection=reviews --type=csv --fields=business_id,name,rating,review,date --out=reviews.csv
`

📦 Export as JSON

`bash
mongoexport --uri="mongodb+srv://22cs098_db_user:[e-mail]/businessDB" --collection=reviews --out=reviews.json
`

---

📊 Step 7: View the Exported Files

• Open reviews.csv in Excel or VS Code.
• Open reviews.json in any text editor.

---

✅ Step 8: Summary

Operation	Command Type	Example
Insert	insertMany()	Add 10 reviews
Query	find(), countDocuments()	Search data
Update	updateOne()	Modify rating/review
Delete	deleteOne()	Remove record
Export	mongoexport	CSV/JSON output

---

🎯 Final Thoughts

MongoDB Atlas makes it easy to:

• Manage cloud-hosted databases
• Perform CRUD operations
• Export results in multiple formats

This project demonstrates all essential MongoDB operations — perfect for Data Engineering and Database Management learning tasks.