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

A **Relational Database Management System (RDBMS)** incorporates the relational data model in which one database entry is referenced to another database entry. The Structured Query Language (SQL) is used to perform operations on RDBMS.

In this management system, the data is stored in the form of tables, rows, and columns. The tables have interdependencies that are created through keys called foreign keys.
 

Below are a few ways that tables are linked:
- **One-to-one relation**: One table record may be linked to one record in another table.
- **One-to-many relation**: One table record may be linked to more than one record in another table.
- **Many-to-many relation**: Many table records may be linked to many records in another table.
- **Many-to-one relation**: Many table records may be linked to one record in another table.


Below are a few important features of RDBMS:
- It uses rows and columns to store data in a structured format.
- It allows data to be normalized.
- It supports ACID properties.
- It can be distributed to support higher throughput.

Let’s learn some important database concepts that are common in most of the databases.


# Primary key

A **primary key** is a column used to uniquely identify each row from a table. For example, the row number is the primary key in an excel sheet as it can be used to select a row uniquely.

# Foreign key
A **foreign key** is a column that references the primary key of another table. It is used to link two tables. For example, a house belongs to an owner. The table of houses will store a reference to the owner. That reference is a foreign key.

# Normalization
Normalization is an important concept that improves database structure, maintains data integrity, and reduces data redundancy. It can be used while designing a relational database, but it can also be used for a NoSQL database.  

There are some forms of normalization which are applied in order. These forms are 1NF, 2NF, 3NF, 4NF, and BCNF.

# ACID properties

A relational database supports transactions that obey ACID properties. These properties are:

- **Atomicity** ensures that the entire transaction either takes place at once or does not happen at all.

- **Consistency** ensures that the database stays consistent before and after a transaction.

- **Isolation** ensures that multiple transactions never create inconsistency of database state.

- **Durability** ensures that once the transaction is completed, the changes persist to the database even if a system failure occurs.

Some examples of RDBMS databases are MySQL, Oracle, IBM, PostgreSQL, Microsoft SQL Server.

> MongoDB supports transactions starting from version 4.0.


Learn the basic concepts of RDBMS, which include primary key, foreign key, normalization, and ACID properties.

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 RDBMS?