Gain insights into MongoDB's core concepts, including queries, CRUD operations, aggregation, and more. Discover how to build applications with hands-on experience and interactive widgets.

mongo.tar.gz

MongoDB is an open-source NoSQL database and stores data in the form of documents. It can be used as an alternative to traditional relational databases. NoSQL databases are schema-less and useful for working with large sets of distributed data. 

In this course, you will learn the core concepts of MongoDB including queries, documents, embedded documents, and operators with advanced features like CRUD operations, bulk write operations, GridFS, indexing, aggregation pipeline, authorization, and more.

You will have plenty of hands-on experience with the help of interactive widgets, and by the end you will have a strong understanding of how to build MongoDB-based applications.

MongoDB: The Complete Guide

MongoDB is a NoSQL database that stores data in the form of documents similar to JSON objects. We’ll learn some important terms that are used throughout this course.

# Collection

In MongoDB, collection is the same as the tables in relational databases.

# Document

In MongoDB, a document is the same as a row in relational databases. A single entry in the collection is called a document.

# Embedded document

In RDBMS, we need to create a separate table to store relational data. Contrary to that, a NoSQL database allows us to store the relational data in the same document. They are called embedded documents. They are also sometimes referred to as child documents. 

Below is an example of a MongoDB document.


```json
{
  _id: "60f56bd0f3a5ecfb8148fea3",
  name: "Learn MongoDB Topic 1",
  date: "2021-07-21",
  priority: 1,
  status: "pending",
  user: "onkar",
  team: {
    id: "60f56bd0f3a55ecfb8148fea34",
    location: {
      address:"San Francisco",
      lat:37.773972,
      lng:-122.431297
    }
  }
}
```
> **Note**: The `team` field contains the embedded document.

Learn what a MongoDB database is, and some important terms such as collection, document, embedded document, and filter query.

Introduction to Database and MongoDB

Create Database and Authorization

Performing CRUD Operations on MongoDB - Part 1

Performing CRUD Operations on MongoDB - Part 2

MongoDB Query and Database Performance

Learn Additional MongoDB Topics

Appendix

What is a MongoDB Database?

Collection