MongoDB 101: Beginner's Guide to MongoDB from Udemy

Are you ready to unlock the power of MongoDB, one of the most popular NoSQL databases used by developers and organizations worldwide? "MongoDB 101: Beginner's Guide to MongoDB" is your gateway to understanding the fundamental concepts of MongoDB and acquiring the skills to work with this flexible, scalable, and high-performance database system.

Get ready for the “MongoDB 101: Beginner’s Guide to MongoDB” complete course. Gain familiarity with the course details and topics designed to help you succeed.

MongoDB offers a flexible and efficient way to store, manage, and retrieve data, making it a vital tool for web and application developers, database administrators, and data enthusiasts.

No matter if you're building web applications, mobile applications, or any other kind of application or if you're a data scientist - you'll need to work with data. Storing data, querying it efficiently, and minimizing complexities whilst optimizing performance are crucial tasks.

In this comprehensive course, you will embark on a journey that takes you from MongoDB novice to proficient user. We will start with the basics and gradually delve into more advanced topics, ensuring you gain a thorough understanding of this robust database system.

Learn about MongoDB with Hands-On Labs

The MongoDB 101: Beginner’s Guide to MongoDB is a hands-on practice course designed to familiarize you with the core functionality of NOSQL database. Through hands-on exercises, throughout this course, you'll master the fundamentals of MongoDB, starting with the core concepts and gradually building your expertise. Whether you're a developer aiming to enhance your skills or a newcomer to the world of databases, you'll find this course both accessible and rewarding.

The course comprises approximately 50 labs starting from the basics and moving to high levels in terms of complexity.

Who should take this course?

The course "MongoDB 101: A Beginner's Guide to MongoDB" is designed for a wide range of individuals who are interested in learning about MongoDB and NoSQL database management. It is particularly suitable for Both aspiring and experienced developers who want to add MongoDB to their skill set. Whether you're a web developer, mobile app developer, or software engineer, understanding MongoDB is valuable for building data-driven applications. This course is also useful for Database administrators who want to expand their knowledge beyond traditional relational databases and gain expertise in NoSQL databases like MongoDB. Anyone with an interest in data management, data science, or data analytics who wants to explore MongoDB as a powerful tool for working with unstructured and semi-structured data can benefit from this course.

Course Content

In Section 1, we will learn to Install and set up MongoDB: We'll guide you through the installation process and show you how to configure MongoDB for your specific needs.

In Section 2, we explore some fundamental concepts of MongoDB. We’ll discover how to create databases, collections, and documents in MongoDB, and master the art of querying data efficiently.

In Section 3, explore performing "CRUD Operations" in MongoDB. We’ll explore different scenarios of creating, updating, reading, and deleting documents in MongoDB using Mongo shell.

In Section 4, we’ll explore some query and projection operators that we can use to make our querying more efficient and get specific documents as a result.

Section 5 introduces you to the update operators that you can use to update your documents or specific fields of the document on the basis of certain criteria.

In Section 6, we’ll explore data modeling in MongoDB and some approaches for how you can implement relationships between collections

Section 7 delves into "The MongoDB Compass" by providing you with the required knowledge to start using MongoDB Compass if you are more comfortable with using GUI than using CLI or shell.

Finally, in Section 8, we’ll integrate MongoDB with programming languages and frameworks. We’ll see how you can use MongoDB with Python and then we’ll see how you can use MongoDB with Spark using Databricks.

What's inside

Learning objectives

What document databases are and how data is organized with mongodb
Performing fundamental create, read, update, and delete operations in mongodb to interact with your data.

Writing complex and efficient queries to retrieve the information you need from your mongodb database.
Use all features mongodb offers you to work with data efficiently.

What document databases are and how data is organized with mongodb
Performing fundamental create, read, update, and delete operations in mongodb to interact with your data.
Writing complex and efficient queries to retrieve the information you need from your mongodb database.
Use all features mongodb offers you to work with data efficiently.

Syllabus

Introduction

What is MongoDB

Key Characteristics of MongoDB

Demo: MongoDB Installation on Windows

Demo: MongoDB Shell Installation on Windows

MongoDB Basics

Understanding Databases, Collections & Documents

JSON vs BSON

Creating Databases & Collections

CRUD Operations in MongoDB

Creating a single Document in MongoDB

Creating multiple documents in MongoDB

Update document using single filter

Update Documents using multiple filters

Reading Documents in MongoDB

Deleting Documents in MongoDB

Importing json file to MongoDB using shell

Importing csv file to MongoDB using shell

Chapter 4

$eq operator

$gt operator

$lt operator

$in operator

$ne operator

$nin operator

$or operator

$and operator

$not operator

$exists operator

$type operator

$expr operator

$mod operator

Update Operators

$currentDate operator

$inc operator

$dec operator

$min operator

$max operator

$mul operator

$rename operator

$set operator

$unset operator

$pop operator

$pull operator

$push operator

Schemas and Relations

Data Modelling in MongoDB

Demo: One To One Relation - Embedded

Demo: One To Many Relation - Embedded

Demo: One To Many Relation- Using References

Demo: Many To Many Relation - Using References

Using MongoDB Compass

Setup a cluster in MongoDB Atlas

Connect MongoDB Atlas with MongoDB Compass

Exploring Table View

Importing Files using MongoDB Compass

Querying Data using MongoDB Compass

Integrating MongoDB with frameworks and languages

MongoDB With Python

SparkWithMongo

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides hands-on labs, which allow learners to master the fundamentals of MongoDB through practical exercises, enhancing their skills and expertise in NoSQL databases

Covers CRUD operations, query operators, and update operators, which are essential for efficiently managing and manipulating data within MongoDB databases

Explores data modeling in MongoDB, including implementing relationships between collections, which is crucial for designing efficient and scalable database structures

Includes integration with Python and Spark using Databricks, which are valuable skills for building data-driven applications and performing advanced data processing tasks

Requires learners to install and set up MongoDB, which may require some technical proficiency and access to a computer with sufficient resources

Teaches MongoDB Compass, which is a GUI tool, but also covers CLI and shell, which may be redundant for some learners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in MongoDB 101: Beginner's Guide to MongoDB with these activities:

Review JSON Fundamentals

Show steps

Reinforce your understanding of JSON, the data format used extensively in MongoDB documents, to better grasp data structures and querying.

Browse courses on JSON

Show steps

Read articles and tutorials on JSON syntax and data types.
Practice creating and validating JSON documents.
Convert data between JSON and other formats.

Read 'MongoDB: The Definitive Guide'

Show steps

Deepen your understanding of MongoDB concepts and best practices through a comprehensive guide.

View MongoDB on Amazon

Show steps

Read the chapters relevant to the course syllabus.
Experiment with the code examples provided in the book.
Take notes on key concepts and techniques.

Practice CRUD Operations

Show steps

Solidify your understanding of CRUD operations by performing repetitive exercises on different datasets.

Show steps

Create a local MongoDB instance with sample data.
Write scripts to create, read, update, and delete documents.
Test your scripts with various data scenarios.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Create a MongoDB Cheat Sheet

Show steps

Compile a cheat sheet of common MongoDB commands and operators for quick reference.

Show steps

Review the course materials and documentation.
Identify the most frequently used commands and operators.
Organize the information in a clear and concise format.

Build a Simple Web Application with MongoDB

Show steps

Apply your MongoDB knowledge by building a web application that interacts with a MongoDB database.

Show steps

Choose a web framework (e.g., Express.js, Flask).
Design a simple data model for your application.
Implement CRUD operations using the MongoDB driver.
Deploy your application to a cloud platform.

Read 'Practical MongoDB'

Show steps

Explore real-world applications and use cases of MongoDB to broaden your understanding of its capabilities.

View Practical MongoDB on Amazon

Show steps

Read the chapters relevant to your interests and projects.
Analyze the code examples and adapt them to your own needs.
Experiment with different data models and querying techniques.

Contribute to a MongoDB Open Source Project

Show steps

Enhance your skills and contribute to the MongoDB community by participating in an open-source project.

Show steps

Find a MongoDB-related open-source project on GitHub.
Review the project's documentation and contribution guidelines.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete MongoDB 101: Beginner's Guide to MongoDB will develop knowledge and skills that may be useful to these careers:

Database Administrator

A database administrator is responsible for the performance, integrity, and security of an organization's databases. This role involves tasks that range from installing and configuring database systems, like MongoDB, to managing user access and ensuring data is backed up and recoverable. This course's hands-on experience with MongoDB, its focus on CRUD operations, and exploring query and projection operators is highly relevant for a database administrator. The course also covers data modeling in MongoDB, which is a crucial skill for this role. The course's modules on working with MongoDB Compass, and integrating MongoDB with programming languages will also help database administrators in their day-to-day work.

See salaries and explore the career path for Database Administrator

Data Engineer

Data engineers build and maintain the infrastructure required for data storage, processing, and analysis. A core part of this job is working with database solutions, which might include NoSQL databases such as MongoDB. This course provides the practical experience necessary for a data engineer. This course helps to build a foundation for data modeling in MongoDB, which is important for designing efficient data storage solutions. Furthermore, the course will give data engineers a start on integrating MongoDB with languages and frameworks like Python and Apache Spark.

See salaries and explore the career path for Data Engineer

Backend Developer

Backend developers are responsible for the server side logic of software applications, which includes data storage, processing, and exchange. Many backend applications use databases like MongoDB to manage data effectively. A backend developer who enrolls in this course will learn to build applications that use MongoDB databases; the course teaches fundamental concepts, as well as CRUD operations and querying in MongoDB. This course will help backend developers learn how to use MongoDB to handle their application's data effectively. The course's labs provide practical, hands-on experience of MongoDB's core functionality.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

Full stack developers work on both the front-end and the back-end of applications and must therefore understand how to use different databases to store data. This course is well suited to a full stack developer who wants to learn about MongoDB and use it in their projects. The course introduces fundamental concepts, teaches CRUD operations, and explains data modeling in MongoDB. The practical exercises and labs available in this course are useful for learning how to integrate a database like MongoDB into a complete application. Full stack developers will also find the sections on integrating MongoDB into other frameworks and languages useful.

See salaries and explore the career path for Full-Stack Developer

Mobile Application Developer

Mobile application developers create applications for mobile devices and often need to use a database system to handle data storage. This course is a good fit for a mobile application developer who wants to learn how to use MongoDB. The course teaches fundamental concepts of MongoDB and provides hands-on experience with CRUD operations. This includes creating databases, collections, and documents, as well as using query and projection operators. With a practical focus, the course will help mobile application developers to use MongoDB in their own projects.

See salaries and explore the career path for Mobile Application Developer

Software Developer

Software developers create and maintain software applications and often interact with databases to store and retrieve data. This course will help a software developer become familiar with NoSQL databases, using MongoDB as the main example. This course is useful for a software developer who has to work with MongoDB databases. The course's focus on fundamental concepts, CRUD operations, query operators, projection operators, and update operators are particularly relevant to someone in this role. Also, the course introduces data modeling in MongoDB, giving software developers insight into structuring data effectively.

See salaries and explore the career path for Software Developer

Web Developer

Web developers create and maintain websites and web applications, and they frequently use databases to store and retrieve user information and other data. This course is helpful for a web developer as it introduces MongoDB, a popular NoSQL database useful in modern web development. A web developer will learn to create databases, collections and documents, as well as perform CRUD operations with MongoDB, which are useful concepts in web application development. With hands-on labs this course provides practical skills necessary for web developers using MongoDB.

See salaries and explore the career path for Web Developer

Data Analyst

Data analysts examine and interpret data to provide insights. They are frequently required to work with databases. This course may be useful for a data analyst who wants to learn about MongoDB as a data storage and retrieval tool. The course provides opportunities to learn how to create databases, retrieve data using queries, and understand how data is structured in a MongoDB environment. The sections of the course focusing on querying and data projection will introduce data analysts to approaches for pulling specific data points from a database.

See salaries and explore the career path for Data Analyst

Solutions Architect

Solutions architects design and oversee the implementation of software solutions, and this often includes choosing the right database technology. This role requires a high-level understanding of database systems. This course may be useful for a solutions architect who wants to learn about MongoDB. The course provides an introduction to the fundamental concepts, covering topics like data modeling, CRUD operations, and querying, offering insights necessary for evaluating MongoDB as a database solution in architectural decisions. The course will be helpful by providing familiarity with integrating MongoDB with other technologies.

See salaries and explore the career path for Solutions Architect

System Administrator

System administrators are responsible for managing and maintaining computer systems and ensuring they run smoothly. This can sometimes involve managing database systems, including NoSQL databases such as MongoDB. This course may be helpful for a system administrator who wants to broaden their understanding of database systems, especially NoSQL databases like MongoDB. The course teaches the fundamental concepts of MongoDB with a focus on installing, configuring, and performing basic operations, and may help system administrators with managing MongoDB deployments and configurations.

See salaries and explore the career path for System Administrator

Cloud Engineer

Cloud engineers design, deploy, and manage cloud computing systems. This can involve working with cloud-based database systems, including managed MongoDB services. This course may be useful to a cloud engineer as it introduces how to set up and use MongoDB, covering essential concepts and practical skills. By introducing data storage and querying in MongoDB, cloud engineers may better understand the operation of MongoDB as a cloud-based database system. The course's section on working with MongoDB Atlas may be especially relevant.

See salaries and explore the career path for Cloud Engineer

Technical Project Manager

A technical project manager oversees technology-related projects, and they may need to understand the technologies in their projects. This course may help a technical project manager who might need a basic understanding of MongoDB. The course could be helpful due to its overview of the fundamental concepts of MongoDB and basic operations. While a technical project manager does not need hands-on skills with MongoDB, the course offers a broad picture of database management and development, which may be useful.

See salaries and explore the career path for Technical Project Manager

Business Intelligence Analyst

Business intelligence analysts examine data to better inform business strategies and decisions. They often work with a variety of data sources, and this may include databases like MongoDB. This course may be useful for a business intelligence analyst who wants to understand how data is stored and queried in MongoDB. The course will help them to understand the basic concepts of database management and how data is structured in a NoSQL environment. The course's modules about querying and projection operators may also be useful for understanding how data can be extracted.

See salaries and explore the career path for Business Intelligence Analyst

Technical Recruiter

Technical recruiters specialize in finding and attracting candidates for technical roles, and they often need to understand the technologies and skills that are important in those roles. This course may help a technical recruiter who wants to learn about MongoDB, a popular NoSQL database. The course may also help recruiters understand the basic concepts of MongoDB, giving them exposure to the terminology and technologies that are relevant to database related roles. This course may assist technical recruiters with sourcing candidates for database and application development roles.

See salaries and explore the career path for Technical Recruiter

Technical Writer

Technical writers create documentation for technical products and services. They may find themselves writing about databases, and a basic understanding of those databases can be useful. This course may provide some useful context for a technical writer. The course introduces the fundamental concepts of MongoDB, and offers exposure to the structure needed for databases, including documents, collections, and the operators for querying. This course may be helpful for a technical writer who needs to write about these technologies.

See salaries and explore the career path for Technical Writer

MongoDB 101

Beginner's Guide to MongoDB

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses