Hands-On with MongoDB Atlas: Storing, Querying, and Analyzing Data

Step 1: Setting Up MongoDB Atlas
Go to MongoDB Atlas
and create a free account.
Create a Free Cluster and wait until it is ready.
Add a database user with a username and password.

Step 2: Connecting to MongoDB Atlas with Python
We will use Google Colab and the pymongo library.

Step 3: Insert Records Manually
We will insert 10 sample business reviews.

Step 4: Querying Data

1. Top 5 Businesses by Rating
2. Count Reviews Containing the Word “good”
3. Get All Reviews for a Specific Business ID

Step 5: Update & Delete Operations
Update a Review
Delete a Record

Step 6: Export Query Results
We can export the collection to a JSON file.

Whitelist your IP address to allow connections.

MongoDB is a popular NoSQL database used to store flexible, JSON-like documents. In this blog, we will explore MongoDB Atlas, a cloud-hosted MongoDB service, and perform some practical operations such as inserting records, querying, updating, and exporting data.

Conclusion

Using MongoDB Atlas, we performed CRUD operations, executed queries, and exported data for analysis. This hands-on practice demonstrates the power of NoSQL databases for flexible and scalable data storage.