MongoDB Tutorial

This is the introductory lesson of the MongoDB tutorial, which is part of the ‘MongoDB for Developers’ course. This tutorial will give you an overview of the course, its prerequisites, and the value it will offer to you.

What is MongoDB?

MongoDB is a document-based database that allows embedded documents, arrays, and represents a complex hierarchical relationship using a single record. MongoDB is touted to be better than relational data models as it allows people to sort unstructured data with ease.

Let us explore the benefits of MongoDB to professionals and organizations in the next section.

Benefits of MongoDB to Professionals and Organizations

MongoDB is beneficial for professionals who administer, manage, analyze large and complex data, such as database administrators, data analysts, and System and enterprise architects.

Using MongoDB, database developers can perform the following tasks:

  • Schema design

  • Developing Web application in Java and Node JS

  • Developing Mobile application in Java and Node JS

MongoDB allows database developers to perform the following tasks:

  • Schema design

  • Optimize performance

  • Manage security, availability, and consistency

  • Monitor and manage clusters

MongoDB allows Data Analysts to

  • Perform CRUD operations and

  • Analyze the data stored in MongoDB

System and Enterprise Architects can perform the following tasks using MongoDB’s unique features:

  • Analyze Use cases

  • Design system architecture

  • Scale Read and write functions and

  • Optimize query performance

In the next section of the MongoDB Tutorial, we will talk about NoSQL databases and RDBMS and how they differ.

Difference between MongoDB and RDBMS

MongoDB is a type of NoSQL database. NoSQL databases are different from Relationship Database Management Systems (RDBMS) in the sense that NoSQLs are easier to work with and can be adapted to different forms of data storage. As a result, NoSQL databases are more in demand than RDBMS.

Take a look at the table given below to understand the difference between the two databases.

 

NoSQL

RDBMS

Data storage:

Multiple Storage Formats - Comprises of different databases with different data storage models

Single Storage Format - Data is stored in a tabular format with numerous rows and columns

Schemas and Flexibility:

Dynamic Schema - You can add columns anytime. The databases can be adapted to meet changing needs.

Fixed Schema - All fields are predefined before data-entry. To change the structure of these fields will be difficult.

Scalability:

Horizontal scaling - This database can be scaled across multiple servers. This method of scaling is cost effective.

Vertical scaling - This database scaling needs bigger servers and therefore costs more.

Atomicity, Consistency, Isolation, Durability (ACID) Compliancy:

Relational databases are mostly ACID compliant.

Most NoSQL databases compromise ACID compliancy for performance and scalability.

MongoDB Tutorial Prerequisites

The basic prerequisite of the MongoDB course is a fundamental knowledge of programming language and Hadoop components. However, participants are expected to have a knowledge of SQL commands.

Let us explore the MongoDB Tutorial Overview in the next section.

MongoDB Tutorial Overview

This MongoDB tutorial will provide a detailed introduction of MongoDB and its features. This course will include:

  • The difference between NoSQL and the traditional Relational Database Management System or RDBMS databases.

  • A detailed introduction of MongoDB as a document database

  • An explanation of MongoDB’s role in the Big Data Ecosystem, as well as, database scaling, replication, and sharding.

  • Information on how CRUD operations in MongoDB are performed and the process of developing Java and Node JS applications.

  • Detailed steps for installing MongoDB in different operating systems and performing various functions

In the next section, we will discuss the objectives of the MongoDB tutorial.

Objectives of the MongoDB Tutorial

By the end of the MongoDB tutorial, you will be able to:

  • Explain the functionalities of MongoDB as a document database
  • Identify the benefits of MongoDB
  • Explain the different use cases of MongoDB
  • Explain how to create and manage different types of indexes in MongoDB for query execution
  • Explain how the replication and sharding features in MongoDB help in scaling read and write operations
  • Explain the process of developing Java and Node JS applications using MongoDB

Let us take a look at the lessons covered in the MongoDB Tutorial

Interested in becoming a MongoDB expert? Check out our course preview now!

Lessons Covered in this MongoDB Tutorial

There are seven lessons covered in this tutorial. Take a look at the lesson names that are listed below

Lesson No

Chapter Name

What You’ll Learn

Lesson 1

Introduction to NoSQL Databases

In this chapter, you’ll be able to:

  • Explain What NoSQL Databases Are
  • Explain the Purpose of NoSQL Databases
  • Identify Various Types of NoSQL Databases
  • List the Differences between NoSQL and RDBMS

Lesson 2

MongoDB Database for the Modern Web

In this chapter, you’ll be able to:

  • Explain What MongoDB Is
  • Identify the Key Features of MongoDB
  • Explain MongoDB’s Core Server and Tools
  • Explain How to Install MongoDB on Windows and Linux Computers

Lesson 3

CRUD Operations in MongoDB

In this chapter, you’ll be able to:

  • Explain How to Perform Data Modification in MongoDB
  • Explain How to Perform a Batch Insert, Ordered Bulk Insert, and Unordered Bulk Insert
  • Explain How to Insert Documents to MongoDB Collection
  • Explain How to Modify, Update, Upsert and Delete Documents from MongoDB Collection

Lesson 4

Indexing and Aggregation in MongoDB

In this chapter, you’ll be able to:

  • Explain How to Create Unique, Compound, Sparse, Text, and Geospatial Indexes in MongoDB
  • Identify the Steps to Create, Remove, and Modify Indexes
  • Identify Different Kinds of Aggregation Tools Available in MongoDB
  • Explain How to Use MapReduce to Perform Complex Aggregation Operations in MongoDB

Lesson 5

Replication and Sharding in MongoDB

In this chapter, you’ll be able to:

  • Explain How the Replication Process works
  • Explain Automatic Failover
  • List Different Types of Sharding Keys
  • Explain When to Use Sharding and How to Deploy a Sharded Cluster

Lesson 6

Developing Java and Node JS Application with MongoDB

In this chapter, you’ll be able to:

  • Explain a Capped Collection
  • Explain how Grid File System (GridFS) is used for Storing Large Data
  • Identify the Steps to Install the Java Driver
  • Explain the Process to Create a Collection from a Java Program

Lesson 7

Administration of MongoDB Cluster Operations

In this chapter, you’ll be able to:

  • Explain Capped Collection
  • Explain What Memory Mapped Files are
  • Explain Allocation Algorithms
  • Describe the Storage Engines MongoDB Support

Conclusion

With this, we come to an end about what this MongoDB tutorial includes. In the next chapter, we will discuss the Introduction to NoSQL Databases and how they are used.

 

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.

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