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I know of your past fondness for the SQL varietals, but I can wholeheartedly endorse a new breed of NON-SQLsMongoDB.

MongoDB is one of the most popular non-SQL databases. Its dynamic schema offers great storage flexibility, enabling your project to deal with ever-changing demands.

Only basic JavaScript knowledge is needed to start this course. If you know how to use a JavaScript object, then you are good to go.

We will start with basic MongoDB concepts and operations, including how MongoDB manages data, CRUD operations, creating validators and indexes, etc.

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I know of your past fondness for the SQL varietals, but I can wholeheartedly endorse a new breed of NON-SQLsMongoDB.

MongoDB is one of the most popular non-SQL databases. Its dynamic schema offers great storage flexibility, enabling your project to deal with ever-changing demands.

Only basic JavaScript knowledge is needed to start this course. If you know how to use a JavaScript object, then you are good to go.

We will start with basic MongoDB concepts and operations, including how MongoDB manages data, CRUD operations, creating validators and indexes, etc.

Then you will learn how to monitor the real-time status of MongoDB collections and databases.

We will also learn advanced topics like aggregation, replica, and sharding.

In the end, we will learn Mongoose and the native nodeJS MongoDB driver.

We want this course to be a serious course that can truly help you master MongoDB and take you to the next level. Therefore, we do not shy away from difficult and complicated topics. But we also believe a good course should make your MongoDB study easy. So we took a two-step approach. We will explain the theory first. After you have developed a basic impression, we will apply what we have learned in real-life examples.

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What's inside

Learning objectives

  • Understand how mongodb stores and manages data
  • Master fundamental operations lie crud, building indexes, capped collections, etc.
  • Perform complicated query operations using aggregation
  • Create, operate and manage replica sets and sharded clusters
  • Perform transaction operations on mongo shell and using the nodejs driver
  • Enable role-based access control for better security
  • Monitor the running status of mongodb
  • Operate mongodb using nodejs

Syllabus

MongoDB Basic Concepts

In this lesson, we will learn the basic concepts of daemon, process, process ID and shell.

In this lesson, we will learn how to define and use the mongoDB config file.

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In this lesson, we will show you how to install MongoDB on Mac OS.

Mac OS Catalina makes the root directory read-only. But by default, MongoDB stores its log and data files in /data/db. This means we need to set a new log and data storage location.

In this lesson, we will download the mongoDB package and install it.

In this lesson, we will do a challenge to test if you have fully understood how to install MongoDB.

In this lesson, we will show you how to use MongoDB Atlas and Compass.

In this lesson, we will take a brief look at how MongoDB manages and stores data. We will compare it with MySQL which is a SQL database that uses a fixed schema.

In this lesson, we will learn how to use Mongo shell.

Commonly used mongo shell methods.

Native shell methods that help us operate the system without leaving mongo shell.

Get to know the connection object and the DB object.

In this lesson, we will try the DB and connection on mongo shell. We will also show you what happens if we assign an illegal value to the global variable DB.

In this lesson, we will explore what happens if we start a mongo shell without selecting a database.

In this lesson, we will learn how to define the .mongorc.js file.

To make sure you can understand what we are about to learn, you must have a proper understanding of how an object inherits properties and methods from its constructor's prototype.

In this lesson, we will show you how to use shell scripts.

In this lesson, we will learn rules we must follow when picking names for databases, collections and fields.

Starting from this lesson, we will learn how to perform CRUD operations.

We will learn how to insert new documents.

In this lesson, we will learn how to insert one document at a time.

In this lesson, we will learn how to insert several documents at a time.

In this lesson, we will learn how to use the insertMany method and how it handles errors.

In this lesson, we will learn how to insert documents using the insert command.

The query object stores retrieved documents.

Query operators help us set more complicated query conditions to help us find the documents we need.

In this lesson, we will learn how to work with nested arrays. E.g. { arr : [1,2,3] }

In this lesson, we will learn how to work with nested documents.

In this lesson, we will work with nested documents.

In this lesson, we will show you how to update documents.

In this lesson, we will show you how to work with date-type values in query and update operations.

In this lesson, we will show you how to update array elements. The main challenge is how to locate the target elements.

In this lesson, we will show you how to add new array elements and control their position in the target array.

In this lesson, we will learn how to only insert unique elements into an array.

In this lesson, we will learn how to delete documents.

In this lesson, we will give you a brief introduction on what indexes are and how they can help improve the query efficiency.

In this lesson, we will give you a brief introduction on index-related methods.

In this lesson, we will create our first single-field index and use it in a query. We will also learn how to "examine" a query operation to see if it has used any indexes or not.

In this lesson, we will show you how to create a sparse index.

In this lesson, we will show you how to create a TTL index and use it to expire documents.

We will learn what text indexes are and how to use them.

In this lesson, we will create a text index and perform a keyword search using it.

We will learn what a capped collection is and how to create it.

We will learn how to create and use a capped collection.

We will learn how to monitor changes made to a capped collection using tailable cursor.

We will learn how to set up a validator to filter documents before inserting them into a collection.

We will create a validator and use it to filter documents.

In this lesson, we will learn how MongoDB guarantees data safety during accidents.

We will learn how MongoDB journaling works.

We will learn how to check the status of a collection and database.

We will learn how to manually release storage space occupied by deleted documents.

We will learn what aggregation is.

We will learn how to design a pipeline to analyze documents.

We will design an aggregation pipeline to calculate the total and average sales made by Tom.

Calculate the total and average value.

We will calculate the total and average sales of a specified salesperson.

We will learn the $round and $trunc operator.

Calculate the total price using the arithmetic operators.

We will learn how to use $expr in query objects. It enables us to find documents by comparing fields from the same document.

In this lesson, we will take a look at one of the most important and commonly used pipeline stages: the group stage.

In this lesson, we will learn four pipeline stages. They are sort, limit, skip and count. Basically their names have already told us what they can do. The cursor object also has four methods under the same names and do the same jobs.

The $unwind stage can help us retrieve array elements.

We will try the $bucket stage in solving a real-life problem.

In this lesson, we will learn a new stage: the facet stage.

It can process multiple aggregation pipelines within a single stage. The single stage is the key here. Pipelines set in the facet stage will all receive the same set of input documents.

So what is the point of using the facet stage. Why do we need to cram several pipelines into one stage?

Doing so enables us to reuse previous aggregation stages. The server does not have to run the same task repeatedly.

In this lesson, we will show you how to keep aggregation results for future reuse.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers replica sets and sharded clusters, which are essential for managing large-scale databases and ensuring high availability, making it relevant for production environments
Explores MongoDB using NodeJS, which allows developers to integrate MongoDB databases into JavaScript-based applications and develop full-stack solutions
Discusses role-based access control, which is crucial for securing databases in enterprise environments and managing user permissions effectively
Requires only basic JavaScript knowledge, making it accessible to developers familiar with JavaScript objects who want to learn NoSQL databases
Compares MongoDB with MySQL, which helps learners transition from SQL databases by highlighting the differences and advantages of a NoSQL approach
Employs a two-step approach, explaining the theory first and then applying it in real-life examples, which reinforces learning through practical application

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Reviews summary

Complete deep dive into mongodb & mongoose

According to learners, this course provides a comprehensive and deep exploration of MongoDB and Mongoose, suitable for those with basic JavaScript who want to master the database. Students frequently praise the instructor's clear explanations and the course structure, which balances theory with practical examples and hands-on coding. The coverage of advanced topics like aggregation, sharding, and replication is often highlighted as a major strength. While the course aims to keep content up-to-date, some reviews note that specific technical setups or code examples may require minor adjustments due to software versioning, a common challenge in rapidly evolving tech stacks. Overall, students find the course to be a highly valuable resource for building a strong foundation and advancing their skills in MongoDB and Mongoose.
Builds a solid base for understanding MongoDB.
"Provides a strong foundation in MongoDB concepts and operations."
"I now have a much better understanding of how MongoDB works fundamentally."
"Excellent course for building a robust understanding of the database."
"The initial modules really helped cement my knowledge of the basics."
Covers advanced features like aggregation and sharding.
"The sections on aggregation and sharding were particularly valuable and covered in detail."
"Going deep into topics like replica sets and transactions was a big plus for me."
"It doesn't shy away from complicated topics like aggregation pipelines."
"Covers advanced aspects that many other introductory courses omit."
Includes practical examples to apply learned concepts.
"The practical examples are very helpful in solidifying the theoretical knowledge."
"I appreciate the hands-on coding sessions after explaining the theory."
"We apply what we learn immediately, which makes it much easier to remember and use."
"The coding demonstrations were particularly useful for understanding real-world use cases."
Explanations are clear and easy to follow.
"The instructor is very clear and explains complex topics in an easy-to-understand way."
"His explanations are always precise and help you grasp the concepts quickly."
"The lessons are well-structured, and the teacher explains everything clearly."
"The way the instructor breaks down concepts makes them very approachable."
Covers a wide range of topics, from basic to advanced.
"The course is really complete and covers a wide array of topics related to MongoDB and Mongoose."
"It's a comprehensive course covering almost everything needed to get started and go deep."
"This course offers a solid foundation covering essential concepts and operations."
"I feel confident after taking this course about most of the concepts covered in the syllabus."
May require minor adjustments for newer software versions.
"Sometimes the code requires minor tweaks due to newer versions of MongoDB or Mongoose."
"Had to look up solutions for setup issues related to current MongoDB versions."
"Keep in mind that software updates might mean some configurations need slight changes."
"A few commands or syntax details varied slightly with the latest versions I was using."

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 Complete MongoDB and Mongoose Course - Take a Deep Dive with these activities:
Review Basic JavaScript Concepts
Solidify your understanding of JavaScript objects, as the course description mentions that only basic JavaScript knowledge is needed to start this course.
Show steps
  • Review JavaScript object syntax and properties.
  • Practice creating and manipulating JavaScript objects.
  • Complete online JavaScript tutorials or exercises.
Review: 'Node.js Design Patterns'
Enhance your understanding of Node.js best practices by reviewing 'Node.js Design Patterns'.
Show steps
  • Obtain a copy of 'Node.js Design Patterns'.
  • Read chapters relevant to application development.
  • Take notes on key concepts and examples.
Review: 'MongoDB: The Definitive Guide'
Deepen your understanding of MongoDB concepts and best practices by reading 'MongoDB: The Definitive Guide'.
View MongoDB on Amazon
Show steps
  • Obtain a copy of 'MongoDB: The Definitive Guide'.
  • Read chapters relevant to the course syllabus.
  • Take notes on key concepts and examples.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice CRUD Operations
Reinforce your understanding of CRUD operations by performing repetitive exercises on a sample MongoDB database.
Show steps
  • Set up a local MongoDB instance.
  • Create a sample database and collection.
  • Practice inserting, querying, updating, and deleting documents.
  • Experiment with different query operators and update modifiers.
Create a Cheat Sheet for MongoDB Commands
Consolidate your knowledge of MongoDB commands by creating a cheat sheet for quick reference.
Show steps
  • Review the MongoDB documentation for common commands.
  • Organize the commands into logical categories.
  • Create a visually appealing and easy-to-use cheat sheet.
Build a Simple CRUD Application
Apply your knowledge of MongoDB and Mongoose by building a simple application that performs CRUD operations on a database.
Show steps
  • Design a simple data model for your application.
  • Set up a Mongoose schema for your data model.
  • Implement CRUD operations using Mongoose methods.
  • Test your application thoroughly.
Follow Advanced Aggregation Tutorials
Refine your aggregation skills by following advanced tutorials that cover complex pipeline stages and operators.
Show steps
  • Search for online tutorials on advanced MongoDB aggregation techniques.
  • Follow the tutorials step-by-step, experimenting with different operators and stages.
  • Apply the techniques learned to solve real-world data analysis problems.

Career center

Learners who complete Complete MongoDB and Mongoose Course - Take a Deep Dive will develop knowledge and skills that may be useful to these careers:
Database Administrator
A database administrator manages and maintains database systems, ensuring their reliability and performance. This role involves tasks such as database installation, configuration, performance tuning, and backup and recovery. This course is directly relevant since it covers MongoDB installation, configuration, and monitoring, all crucial aspects of database administration. Furthermore, the course delves into advanced topics like sharding and replica sets, which are key for scalability and high availability, essential for a database administrator. The course's focus on real-life examples and in-depth theory will help build a strong foundation in the skills and knowledge required for this career.
Backend Developer
A backend developer builds and maintains the server-side logic of applications, often working with databases to manage data. This role requires competence in database interactions, data modeling, and API development. This course will be very helpful because it focuses on MongoDB, one of the most popular NoSQL databases, providing an in depth understanding of data management. The course also teaches how to perform CRUD operations, which are vital for building robust backends. Learning to use the NodeJS driver will help a backend developer integrate MongoDB into their applications, an important skill for this role.
Data Engineer
A data engineer designs, builds, and maintains data pipelines. These pipelines involve collecting, storing, and processing large datasets. Data engineers are also responsible for ensuring data quality and availability. This course is highly relevant as it provides training on MongoDB, a common data storage solution for a huge variety of data. The course covers topics such as data modeling, sharding, and aggregation, which are core topics for data engineering. Learning how to monitor MongoDB's status and how to perform complex search operations helps a data engineer manage large amounts of data effectively.
Full-Stack Developer
A full stack developer works with both the front-end and the back-end of applications. This requires a broad range of skills including database management, server-side logic, and user interface design. This course is useful for a full stack developer because it provides a deep dive into MongoDB, a common database choice. The course also teaches how to use the NodeJS driver, which is essential for full stack development involving MongoDB. The course’s instruction on CRUD operations, data modeling, and aggregation can help bolster a full stack developer's versatility in building complete applications.
Database Consultant
A database consultant advises organizations on the best practices for storing and managing data. They assess client needs, recommend database solutions, and help implement these solutions. This course provides in depth knowledge of MongoDB, a popular NoSQL database that is a growing part of this field. The course's focus on real-life examples will provide a database consultant with concrete knowledge of how to use MongoDB in a wide variety of situations. Knowledge of how to perform aggregation, implement sharding, and monitor database performance makes this course invaluable to anyone in this role.
Software Engineer
A software engineer designs, develops, and tests software applications. This often involves working with databases to manage and persist data. This course is helpful as it provides a comprehensive understanding of MongoDB, a widely used NoSQL database, including how to perform CRUD operations, build indexes, and handle complex queries. A software engineer can use this training to integrate MongoDB into diverse projects. Because most projects need to persist data this course can provide a strong foundation in database management.
Data Analyst
A data analyst interprets data to identify trends and insights. This role requires proficiency in data querying, analysis, and visualization. This course may be useful because it introduces how to perform complex queries using aggregation in MongoDB, a popular database used by data analysts. The course also covers data storage, which helps data analysts better understand how to interact with and interpret data. While this course is not focused on analysis and visualization, a data analyst could use its database knowledge.
Solutions Architect
A solutions architect designs and oversees the implementation of technology solutions to meet business needs. They are responsible for choosing the right technologies and ensuring they integrate effectively. This course may be useful as it provides an understanding of MongoDB, which is a popular database choice for many applications. A solutions architect should understand the benefits and drawbacks of each data storage solution. The course's coverage of sharding, replica sets, and database monitoring provides the technical expertise needed to make informed decisions about database architecture.
Cloud Engineer
A cloud engineer builds and manages cloud infrastructure and services. This role often involves database management and optimization within the cloud environment. This course may be useful because it provides a detailed understanding of MongoDB, including how to manage data, perform CRUD operations, and monitor database status, all of which are important for working with cloud databases. The course's focus on real-world examples and its treatment of challenging topics can help a cloud engineer deploy and manage MongoDB effectively in a cloud environment.
DevOps Engineer
A DevOps engineer automates and streamlines the software development process, including deployment and infrastructure management. This role requires familiarity with databases and their operations in production. This course may be useful because it demonstrates how to work with MongoDB, a common database choice for applications, and how to monitor its status. The course's focus on practical skills such as database configuration, indexing, and sharding can help a DevOps engineer contribute to more efficient application deployments and operations.
Technical Support Engineer
A technical support engineer provides assistance to users experiencing technical issues with software or hardware. This role may require some knowledge of databases and how they are used within applications. This course may be useful because it provides an understanding of MongoDB, a popular NoSQL database, including how to perform fundamental operations. Though not central to the role, this database knowledge could help in diagnosing and troubleshooting issues related to data storage and retrieval, especially regarding complicated queries.
IT Specialist
An IT specialist provides technical support and maintains the information technology infrastructure of an organization. This role may involve tasks such as database management, system administration, and network maintenance. This course may be useful as it imparts practical knowledge of MongoDB, including how to install, configure, and monitor it. The course's coverage of basic operations, CRUD, and indexing can help an IT specialist manage databases, which is a common task in IT support.
Web Developer
A web developer creates and maintains websites and web applications. While this role often focuses on front-end technologies, it may also involve some work with databases. This course may be helpful because it introduces how to interact with MongoDB, a database commonly used when building web applications. The course also covers JavaScript, which is a language used on the web. Although not central to every web development path, learning how to manage data storage with MongoDB is often a useful skill for web developers.
Business Intelligence Analyst
A business intelligence analyst uses data to create business insights and reports. This role requires data analysis and visualization, and may involve some interaction with back-end data sources. This course may be useful because it discusses how data is stored and managed using MongoDB. It also covers how to perform complex queries. While this course is not core to business intelligence, the knowledge of databases and data storage might be useful to some analysts when working with different databases.
Project Manager
A project manager plans, executes, and oversees projects within an organization. While this role does not usually involve technical work, some familiarity with database concepts can be beneficial when managing software development projects. This course may be useful by providing an overview of how databases, specifically MongoDB, manage and store data. This may help a project manager better understand the technical challenges that their team faces. However, it is not critical for this position.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Complete MongoDB and Mongoose Course - Take a Deep Dive.
Provides a comprehensive overview of MongoDB, covering everything from basic concepts to advanced features like sharding and replication. It serves as an excellent reference for understanding the underlying principles of MongoDB and how to effectively use it in real-world applications. It is particularly useful for understanding the theory behind the practical examples covered in the course. This book is commonly used by industry professionals.
Since the course covers the native NodeJS MongoDB driver, it is important to understand Node.js design patterns. explores common design patterns used in Node.js development, which can be helpful when working with the MongoDB driver in a Node.js environment. It provides practical examples and guidance on how to implement these patterns effectively. This book is more valuable as additional reading than it is as a current reference.

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