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Introduction to the MongoDB

4.5 Filled star Filled star Filled star Filled star Empty star
Based on 3,556 ratings
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Bogdan Stashchuk | 300K Students Worldwide | MBA, PhD

This course is for total beginners in MongoDB.

Goal of the course is to give you understanding of what is MongoDB, which main features it has and of course try to use those features yourself.

NOTE This course has edited by hand English Closed Captions (CC) for all lectures. They were also translated to many different languages. Please feel free to enable them in the video player.

You will learn how to perform following actions:

Read more

This course is for total beginners in MongoDB.

Goal of the course is to give you understanding of what is MongoDB, which main features it has and of course try to use those features yourself.

NOTE This course has edited by hand English Closed Captions (CC) for all lectures. They were also translated to many different languages. Please feel free to enable them in the video player.

You will learn how to perform following actions:

  1. Install MongoDB

  2. Insert documents into the collections

  3. Find documents using different query operators such as $and, $or, $gt

  4. Update documents using update operators such as $set and $unset

  5. Delete documents

You will be also able to explain some advanced MongoDB features such as:

  • Aggregation Framework

  • Indexes

  • MongoDB Utilities

  • MongoDB Replica Set

  • MongoDB external drivers

Enroll now and learn basics of MongoDB.

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What's inside

Learning objectives

  • Understand difference between relational and document databases
  • Explain such data formats as json, extended json and bson
  • Describe most commonly used bson data types such as objectid, date, string and numberint
  • Understand mongodb structure - databases, collections and documents
  • Explain how mongodb server is managed using mongodb shell
  • Practice insertion of the documents into the collection
  • Use different query methods such as findone() and operators such as $and, $or, $gt and $ne
  • Understand and utilize update methods such as updateone() and updatemany()
  • Become familiar with update operators such as $set, $unset and $inc
  • Successfully delete documents from the collection using deleteone() and deletemany() methods
  • Explain what is aggregation framework, mongodb utilities and indexes
  • Understand what is external mongodb driver and what is it's purpose
  • Show more
  • Show less

Syllabus

Introduction
Let's get connected! Join the Learning Community
LECTURE - Course Navigation
LECTURE - Closed Captions for the Video Lectures
Read more

Let's discuss where MongoDB is used most often

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Explores the differences between relational and document databases, which is foundational knowledge for database design and management
Covers JSON, Extended JSON, and BSON data formats, which are essential for working with data in MongoDB
Teaches how to install MongoDB and use the MongoDB Shell, which are practical skills for setting up and interacting with a MongoDB database
Introduces MongoDB's Aggregation Framework, Utilities, and Indexes, which are important for optimizing database performance and data analysis
Uses Robo 3T (previously Robomongo), which may not be the latest tool for MongoDB management, but still provides a GUI for interacting with databases

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Reviews summary

Solid introduction to mongodb basics

According to learners, this course serves as a largely positive and great starting point for those new to MongoDB. Many appreciate the clear explanations of core concepts like document databases, BSON format, and the MongoDB shell. The focus on fundamental CRUD operations (Create, Read, Update, Delete) is seen as a strong foundation for beginners. Students particularly highlight the value of the hands-on practice sections. While the course provides a good overview, some learners note that the installation setup can occasionally be challenging, and the coverage of advanced topics is relatively brief, serving more as an introduction rather than providing in-depth knowledge required for complex tasks.
Practice exercises reinforce learning
"The practice exercises were essential for understanding the concepts."
"I really appreciated the hands-on approach to learning."
"Doing the labs helped solidify what was taught in the lectures."
"The practical examples provided were very helpful."
Focuses on essential CRUD commands
"The sections on insert, find, update, and delete were very practical."
"I feel confident performing basic CRUD operations after this course."
"Learning the MongoDB shell commands was straightforward and useful."
"The course effectively covers the fundamentals needed for daily tasks."
Solid foundation for new learners
"This course gave me a solid foundation in MongoDB."
"Perfect starting point for someone completely new to database concepts."
"I found this course easy to follow even with no prior knowledge of NoSQL."
"Excellent introduction to get you up and running quickly."
Some encountered installation challenges
"Had some difficulty with the MongoDB installation on my local machine."
"The setup part of the course could be clearer for different operating systems."
"Needed to search online for help with the installation steps."
"The initial setup was a bit frustrating."
Briefly covers advanced features
"The course touches on aggregation and indexing but doesn't go deep."
"Good overview, but not enough detail on advanced topics like replica sets."
"I wish there was more information on performance or scaling."
"It's a great intro, but you'll need another course for advanced features."

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 Introduction to the MongoDB with these activities:
Review JSON basics
Solidify your understanding of JSON, as it's fundamental to MongoDB's document structure. This will make understanding BSON and Extended JSON much easier.
Browse courses on JSON
Show steps
  • Read articles about JSON syntax and data types.
  • Practice creating and validating JSON documents.
  • Convert data between JSON and other formats.
MongoDB: The Definitive Guide
Supplement your learning with a comprehensive guide to MongoDB. This book will provide a deeper understanding of the concepts covered in the course.
View MongoDB on Amazon
Show steps
  • Read the chapters relevant to the course topics.
  • Work through the examples provided in the book.
  • Use the book as a reference when working on projects.
MongoDB Shell Commands Practice
Reinforce your familiarity with MongoDB Shell commands for basic operations. This will speed up your learning and make you more efficient when working with MongoDB.
Show steps
  • Practice inserting, finding, updating, and deleting documents using the MongoDB Shell.
  • Experiment with different query operators and update operators.
  • Use the shell to manage databases and collections.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practical MongoDB
Explore practical applications of MongoDB to enhance your understanding. This book will provide real-world examples and use cases.
View Practical MongoDB on Amazon
Show steps
  • Read the case studies and examples in the book.
  • Try implementing the examples in your own projects.
  • Adapt the examples to solve different problems.
Create a MongoDB Cheat Sheet
Compile a MongoDB cheat sheet with commonly used commands and operators. This will serve as a quick reference guide and reinforce your learning.
Show steps
  • Gather the most important MongoDB commands and operators.
  • Organize the cheat sheet logically.
  • Share your cheat sheet with other learners.
Explore MongoDB Aggregation Framework Tutorials
Deepen your understanding of the Aggregation Framework through guided tutorials. This will help you perform complex data analysis and transformations in MongoDB.
Show steps
  • Find and follow tutorials on using the Aggregation Framework.
  • Implement different aggregation pipelines for various data analysis tasks.
  • Analyze the performance of your aggregation pipelines.
Build a Simple CRUD Application with MongoDB
Apply your MongoDB knowledge by building a simple CRUD (Create, Read, Update, Delete) application. This will solidify your understanding of MongoDB's core functionalities.
Show steps
  • Design the data model for your application.
  • Implement the CRUD operations using MongoDB drivers.
  • Test your application thoroughly.
  • Deploy your application to a cloud platform.

Career center

Learners who complete Introduction to the 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 a database. This course, which introduces the MongoDB database, may be useful for an aspiring Database Administrator. The course covers essential aspects, starting with installation and going on to how to insert, find, update, and delete documents. Crucially, it explains using the MongoDB shell to manage a server and how to work with data formats like JSON and BSON. The course's coverage of more advanced topics, such as aggregation, indexes, and MongoDB utilities, introduces a solid foundation for managing aspects of a database, that a Database Administrator would need to know.
See salaries and explore the career path for Database Administrator
Data Engineer
A Data Engineer builds and maintains the infrastructure for data storage and retrieval. A Data Engineer may find that this course is helpful, as it covers the basics of MongoDB, a popular NoSQL database. The course begins with installation and goes on to cover vital topics like document insertion, querying, updating, and deletion. Data Engineers work with a variety of data structures, and they should be familiar with JSON and BSON data formats, which are covered in this course, along with several other data types. The course also touches on advanced topics like the aggregation framework and indexes. This can also help Data Engineer's build pipelines to transform the data.
See salaries and explore the career path for Data Engineer
Backend Developer
A Backend Developer builds and maintains the server-side logic of web applications. This course, which introduces the MongoDB database system, may be useful for a Backend Developer. This is because databases are essential to the backend. The course's introduction to how to insert, find, update, and delete documents is particularly relevant. Additionally, topics like the aggregation framework and indexes are helpful. The course also explains working with JSON and BSON data, which are foundational concepts for any Backend Developer working with data. A Backend Developer who wishes to store data with a MongoDB database will find that this course helps build a foundation.
See salaries and explore the career path for Backend Developer
Software Developer
A Software Developer designs and builds software applications. This course introduces MongoDB, which is used in software applications. Therefore, a Software Developer may find this course useful. This course provides a practical introduction to setting up and using MongoDB. It covers basic operations such as inserting, finding, updating, and deleting data, as well as using operators such as $and, $or, and $gt. This knowledge can be valuable for a Software Developer. More advanced topics covered in the course, such as aggregation framework and indexes, help Software Developers learn how to optimize and manage their data.
See salaries and explore the career path for Software Developer
Full-Stack Developer
A Full Stack Developer works on both the front-end and back-end of web applications. This course, which introduces MongoDB, can be valuable to a Full Stack Developer as it equips them with the knowledge to handle backend database operations. This course teaches you how to install MongoDB, insert documents, perform database queries, update documents and delete documents. The knowledge of data formats such as JSON and BSON provided in the course can help a Full Stack Developer build a better understanding of data structures. The course's coverage of advanced features like aggregation framework and indexes may help a Full Stack Developer effectively manage database operations.
See salaries and explore the career path for Full-Stack Developer
Data Analyst
A Data Analyst interprets data to help organizations make better decisions. This course introduces MongoDB, a database system that a Data Analyst may need to use. The course begins with installation and then goes on to cover how to insert, find, update and delete data. Understanding how different query operators work, like $and, $or, and $gt, helps a Data Analyst better extract insights. The course also covers the aggregation framework, which may allow a Data Analyst to perform complex analysis. The course is a helpful starting point for a Data Analyst who wants to learn how to work with NoSQL databases, such as MongoDB.
See salaries and explore the career path for Data Analyst
Data Architect
A Data Architect designs and manages an organization's data infrastructure. This course introduces MongoDB, which is a database often used in modern data systems. The course starts with the basics, explaining how to install and use MongoDB. It then moves on to how to insert, find, update and delete documents. The course's coverage of data formats like JSON and BSON, along with more advanced topics like the aggregation framework and indexes may help a Data Architect who needs to understand the fundamentals of this type of database. A Data Architect may find this helps them make informed decisions about data storage and management.
See salaries and explore the career path for Data Architect
System Administrator
A System Administrator manages computer systems, including databases. This course, which is an introduction to MongoDB, may be helpful for a System Administrator who needs to know how to work with this database system. The course begins with installation and then goes on to cover how to insert, find, update, and delete data. It also covers how to manage the server using the MongoDB shell and work with data formats like JSON and BSON, which are fundamental to using this type of database. A System Administrator who wishes to have experience in managing a MongoDB database can find that this course builds a foundation.
See salaries and explore the career path for System Administrator
Solutions Architect
A Solutions Architect designs technology solutions for business problems. This course, which is an introduction to MongoDB, may be useful to a Solutions Architect, especially when a project they are working on involves a NoSQL database. The course covers how to install MongoDB, insert documents, and use query operators, and it moves on to teach how to update and delete data. This knowledge may help a Solutions Architect, as the need to choose and implement the appropriate database solution is critical to project success. The course also covers advanced topics such as working with replica sets, which a Solutions Architect may need to know.
See salaries and explore the career path for Solutions Architect
Business Intelligence Developer
A Business Intelligence Developer creates systems for organizations to analyze data. This course provides an introduction to MongoDB, which is a database that may be a crucial component in the tools a Business Intelligence Developer works with. The course teaches how to install MongoDB, insert documents, and manipulate data using different operators. Additionally, this course covers working with JSON and BSON formats. The course's coverage of advanced features like the aggregation framework, which is useful for data analysis, can help a Business Intelligence Developer to extract and analyze information from data stored in MongoDB databases.
See salaries and explore the career path for Business Intelligence Developer
Technical Consultant
A Technical Consultant advises clients on technology solutions. This course, which introduces MongoDB, may be useful for a Technical Consultant who needs to understand database systems. The course covers the installation, management, and querying of a MongoDB database. This may help a Technical Consultant understand the different options for database storage, especially when working with a project that uses a NoSQL database. The course's coverage of data formats, such as JSON and BSON, is relevant, as is its introduction to advanced concepts like the aggregation framework. A Technical Consultant may find that this course helps them better advise their clients.
See salaries and explore the career path for Technical Consultant
Data Scientist
A Data Scientist uses statistical methods to analyze data and extract insights. This course, which is an introduction to MongoDB, may be useful for a Data Scientist. Data Scientists must work with data from a variety of sources, and this course helps build skills in using and understanding one type of database. The course's introduction to how to insert, find, update, and delete data is helpful. The course also covers the aggregation framework, which may help a Data Scientist to perform statistical operations on the data. A Data Scientist who needs to work with a NoSQL database, such as MongoDB, may find that this course helps provide a basic foundation.
See salaries and explore the career path for Data Scientist
DevOps Engineer
A DevOps Engineer works to automate and streamline technology processes. This course introduces MongoDB, a database that is often used in modern software deployments. Therefore a DevOps Engineer may find this course helpful. The course explains key aspects of MongoDB, including installation, data manipulation, and management. It also covers essential data formats such as JSON and BSON. This course also introduces the MongoDB replica set, which a DevOps Engineer may need to deploy or maintain. A DevOps Engineer who wants to understand how to deploy and manage a MongoDB database may find that this course helps them build a foundation in those areas.
See salaries and explore the career path for DevOps Engineer
Cloud Engineer
A Cloud Engineer manages cloud infrastructure, which may include database services. This course is an introduction to MongoDB, which is a database commonly used in cloud environments. Therefore, a Cloud Engineer may find that this course is useful. The course explains how to install and use MongoDB and how to perform data operations such as inserting, finding, updating, and deleting documents. This course also touches upon more advanced features, such as replica sets. A Cloud Engineer who needs to understand how to manage databases in the cloud may find that this course helps them to build a foundation and understand the basics of how MongoDB databases work.
See salaries and explore the career path for Cloud Engineer
Technical Support Engineer
A Technical Support Engineer provides technical assistance to users of software applications. This course provides an introduction to MongoDB, which is a commonly used database. A Technical Support Engineer may find this course is useful, especially if they are working with software applications that rely on MongoDB. The course explains the fundamental aspects of MongoDB, including how to install it. It also covers how to insert, find, update, and delete documents. Additionally, the course covers how to use the MongoDB shell and work with JSON and BSON. This knowledge may help a Technical Support Engineer better understand and troubleshoot issues related to MongoDB.
See salaries and explore the career path for Technical Support Engineer

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 Introduction to the MongoDB.
Cover image
MongoDB
Save
Provides a comprehensive overview of MongoDB, covering everything from basic concepts to advanced features. It's a valuable resource for understanding MongoDB's architecture, data modeling, and query optimization. This book is useful as a reference tool and for additional reading to deepen your understanding of the course material. It is commonly used by industry professionals.
MongoDB
Paperback
Check
MongoDB
Kindle Edition
Check
Cover image
Practical MongoDB
Save
Focuses on practical applications of MongoDB, providing real-world examples and use cases. It's a great resource for learning how to use MongoDB in various projects and scenarios. This book is more valuable as additional reading to expand on the course material and see how MongoDB is used in practice. It provides a hands-on approach to learning MongoDB.
Practical MongoDB
Paperback
Check
Practical MongoDB
Kindle Edition
Check

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Course image
Rating
4.5 Filled star Filled star Filled star Filled star Empty star
Effort
1.5 total hours
Via
Udemy
Instructor
Bogdan Stashchuk | 300K Students Worldwide | MBA, PhD
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Explores the differences between relational and document databases, which is foundational knowledge for database design and management
Covers JSON, Extended JSON, and BSON data formats, which are essential for working with data in MongoDB
Teaches how to install MongoDB and use the MongoDB Shell, which are practical skills for setting up and interacting with a MongoDB database
Introduces MongoDB's Aggregation Framework, Utilities, and Indexes, which are important for optimizing database performance and data analysis
Uses Robo 3T (previously Robomongo), which may not be the latest tool for MongoDB management, but still provides a GUI for interacting with databases
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