Week 1: MongoDB Basics – Start Your Learning Journey

Week 1: MongoDB Basics – Start Your Learning Journey (Days 1-7)

In Week 1, you’ll cover the fundamentals of MongoDB, including understanding NoSQL databases, the structure of MongoDB, and the basic CRUD (Create, Read, Update, Delete) operations. By the end of the week, you’ll have a solid foundation to work with MongoDB and start building your own applications.

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Day 1: Introduction to MongoDB and NoSQL

• What is MongoDB?
• MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. It’s scalable, fast, and ideal for applications requiring high performance and flexibility.
• NoSQL vs SQL:
• Understand the differences between NoSQL databases like MongoDB and traditional SQL databases. Learn about the advantages of NoSQL, especially for unstructured or semi-structured data.
• MongoDB Use Cases:
• Explore real-world scenarios where MongoDB is used, such as web apps, mobile apps, content management systems, and real-time analytics.

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Day 2: Setting Up MongoDB

• Installing MongoDB:
• Install MongoDB on your machine (or use MongoDB Atlas for a cloud-based solution). Follow the official MongoDB installation guides for your operating system (Windows, macOS, Linux).
• MongoDB Shell and Compass:
• Learn how to interact with MongoDB using the MongoDB shell and MongoDB Compass (GUI). Understand how to use these tools for managing databases, collections, and documents.

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Day 3: MongoDB Data Model

• Document-Oriented Database:
• Understand the document model used in MongoDB. Each document is a JSON-like structure, making it easy to represent complex data with nested structures.
• Collections and Databases:
• Learn about collections in MongoDB, which are groups of documents. Understand the concept of a database, which contains multiple collections.

Example:

{
  "_id": 1,
  "name": "John Doe",
  "age": 30,
  "address": {
    "street": "123 Main St",
    "city": "New York"
  }
}

• Basic Document Structure:
• Get comfortable with MongoDB’s document structure, which uses fields and values to represent data.

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Day 4: CRUD Operations – Create Data

• Inserting Documents:
• Learn how to insert documents into a MongoDB collection using the insertOne() and insertMany() methods.

Example:

db.users.insertOne({ name: "John", age: 30 });

• Understanding _id Field:
• Every document in MongoDB automatically has a unique _id field, which acts as the primary key for that document.

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Day 5: CRUD Operations – Read Data

• Querying Documents:
• Learn how to query MongoDB to read data from collections using the find() method. Understand how to filter results using query criteria.

Example:

db.users.find({ age: { $gt: 25 } });

• Projection:
• Learn about projections to specify which fields to include or exclude in the query result.

Example:

db.users.find({}, { name: 1, _id: 0 });

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Day 6: CRUD Operations – Update Data

• Updating Documents:
• Learn how to update documents using updateOne(), updateMany(), and replaceOne() methods. Understand how to use update operators like $set and $inc.

Example:

db.users.updateOne({ name: "John" }, { $set: { age: 31 } });

• Upsert Operation:
• Explore the concept of upserts, where MongoDB inserts a document if it doesn’t exist or updates it if it does.

Example:

db.users.updateOne({ name: "Jane" }, { $set: { age: 29 } }, { upsert: true });

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Day 7: CRUD Operations – Delete Data

• Deleting Documents:
• Learn how to delete documents using deleteOne() and deleteMany() methods.

Example:

db.users.deleteOne({ name: "John" });

• Caution with Deletion:
• Understand the importance of data deletion and how to handle it carefully, as deleted data cannot be recovered unless backups are in place.

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Conclusion

By the end of Week 1, you’ll have a strong grasp of MongoDB’s core features, including how to create, read, update, and delete data in your MongoDB database. You’ll also be comfortable with MongoDB’s data model and tools for managing your database. As you progress, you’ll build on this foundation and dive into more advanced MongoDB features in the upcoming weeks.

Stay tuned for Week 2, where we’ll cover more advanced MongoDB topics like aggregation, indexing, and data relationships!