MongoDB - The Complete Dev BootCamp | Beginner-Expert {2024} from Udemy

Master MongoDB: The Ultimate Developer Guide | Beginner to Expert

Embark on a journey to master MongoDB, one of the most popular NoSQL databases, with an expert instructor. This comprehensive, hands-on course covers everything from the basics to advanced MongoDB concepts. No prior experience with MongoDB or databases is required.

Why MongoDB?

MongoDB is the go-to choice for the modern web, mobile, and other applications due to its scalability, flexibility, and ease of use. As a developer or data scientist, efficiently storing and querying data is crucial. MongoDB simplifies these tasks, prioritizing performance and efficiency, making you a highly sought-after professional.

What You'll Learn:

MongoDB installation, server and client connections, and Compass installation
Understanding databases, collections, documents, data types, JSON, and BSON in MongoDB
Mastering CRUD operations with findOne(), find(), insertOne(), insertMany(), updateOne(), updateMany(), deleteOne(), and deleteMany()
Efficient data filtering techniques with queries, comparison, logical, and element operators
Proficiency with the Mongo Shell
Working with embedded documents and nested structures
Optimizing performance through indexing, compound fields, and multi-key indexing
Utilizing MongoDB cursors and methods for data retrieval
Leveraging MongoDB's powerful Aggregation Framework and $lookup
Understanding replica sets, sharding concepts, and MongoDB schema validation
Handling dates, times, and regular expressions in MongoDB
Working with geospatial data and operators
Hands-on exercises with real-world examples and solutions
Best practices for using MongoDB in your projects
... and much more.

Why This Course?

Our course is designed to captivate and engage you through a series of hands-on exercises and real-world examples. By the end of the course, you'll have acquired the knowledge and skills necessary to work confidently with MongoDB in any project.

Who This Course Is For:

Developers or data scientists planning to work with MongoDB
Web, mobile, or desktop app developers considering MongoDB
Teams already using or considering MongoDB
SQL database users exploring NoSQL alternatives
Beginners to advanced MongoDB users exploring core features

Don't miss this opportunity to elevate your career and become a MongoDB expert. Enroll now and start learning TODAY.

What's inside

Learning objectives

Learn what document databases are and how to manage data using mongodb
Learn how to design and structure your data with mongodb
Learn how to create basic and complex mongodb queries with detailed practical examples
Learn the crud operations in mongodb with mongoose

Write your own bson document database and efficient and well-performing queries to fetch data in the format you need it
Learn to write high-performing queries to fetch data mongodb
Learn to apply index, constraints (schema validation) and many mongodb capabilities to make your project
Use all features mongodb offers you to work with data efficiently

Learn what document databases are and how to manage data using mongodb
Learn how to design and structure your data with mongodb
Learn how to create basic and complex mongodb queries with detailed practical examples
Learn the crud operations in mongodb with mongoose
Write your own bson document database and efficient and well-performing queries to fetch data in the format you need it
Learn to write high-performing queries to fetch data mongodb
Learn to apply index, constraints (schema validation) and many mongodb capabilities to make your project
Use all features mongodb offers you to work with data efficiently

Syllabus

Installation and Setup

Installation of MongoDB

Update - Installation of MongoDB - (New)

Starting MongoDB Server and Client Connection

Update - Starting MongoDB Server and Client Connection - (New)

Read Me Please!

Compass Installation

Database | Collection | Document | Data

Class - Database vs Collection vs Document vs Data

Database

Class - Understanding Database In MongoDB

Class - Database Naming Rules In MongoDB

Class - Creating a Database

Lab - Creating a Database

Class - Deleting a Database

Collection

Class - Understanding Collection in MongoDB

Class - Naming Rules for Collection

Class & Lab - Creating Collection

Data Type

Class - Understanding MongoDB Data Type

JSON vs BSON

Class - Understanding JSON and BSON

MongoDB Documents | Data Modelling

Class - Understanding MongoDB Document

Class - JSON Syntax

Class - Array in JSON

Class - Array Containing Object

Class - Important Points on Mongo DB Document

Class - Embedded Documents

Class - Embedded Nested Documents by Example

Class - Important Points on Embedded Documents

Class - Patterns in Document Writing

Ways of Inserting/Creating Documents

insertOne(), insertMany(), insert()

Understanding insertOne()

Class - Syntax

Class - InsertOne() by Example

Lab - InsertOne() by Example

Class & Lab - Finding Documents in a Collection

Class - InsertOne() by Example II

Lab - InsertOne() by Example II

Class - How to Manually Insert _id

Lab - How to Manually Insert _id

Class & Lab - Error in Inserting Existing _id

Understanding insertMany()

Class - InsertMany() by Example

Lab - InsertMany() by Example

Class & Lab - Custom ID

Understanding insert()

Class - Understanding insert()

Class & Lab - Insert by Example

Class & Lab - Understanding ORDERED | true

Class & Lab - Understanding ORDERED | false

Creating Documents - More Practice

Class - Understanding Brackets in JSON

Class & Lab - Exercise and Solution - 1

CODE: Exercise and Solution - 1

Class & Lab - Exercise and Solution - 2

CODE: Exercise and Solution - 2

Class 7 Lab - Exercise and Solution - 3

CODE: Exercise and Solution - 3

Lab - Exercise and Solution - 4

CODE: Exercise and Solution - 4

Class - Exercise and Solution - 5

CODE: Exercise and Solution - 5

Class & Lab - Exercise and Solution - 6

CODE: Exercise and Solution - 6

Sample Documents | Datasets

Lab - Sample Data

CODE: Sample Data (Customers)

CODE: Sample Data (Food)

CODE: Sample Data (Product_Suppliers)

Lab - Importing CSV file to MongoDB Using Compass

CODE: Importing CSV file to MongoDB Using Compass

Lab - Converting String to Double

CODE: Converting String to Double

Finding One Document

Class & Lab - Understanding findOne()

CODE: Understanding findOne()

Class & Lab - No Match

Class & Lab - Query Operators

CODE: Query Operators

Lab - Exercise and Solution I

CODE - Exercise and Solution I

Lab - Exercise and Solution II

Class & Lab - Query Operators with find()

CODE - Exercise and Solution II

Projection

Class & Lab - Understanding Projection

CODE: Understanding Projection

CODE: Exercise and Solution I

CODE: Exercise and Solution II

Finding Multiple Documents

Class & Lab - Understanding find()

CODE: Understanding find()

CODE: Query Operators with find()

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers MongoDB installation, server and client connections, and Compass installation, which are essential for setting up a development environment

Teaches CRUD operations with findOne(), find(), insertOne(), updateOne(), deleteOne(), which are fundamental for data manipulation

Explores replica sets, sharding concepts, and MongoDB schema validation, which are crucial for building scalable and reliable applications

Includes hands-on exercises with real-world examples and solutions, which allows learners to apply their knowledge in practical scenarios

Requires learners to import CSV files to MongoDB using Compass, which may require learners to have access to datasets and spreadsheet software

Teaches MongoDB, which simplifies performance and efficiency, making learners highly sought-after professionals in web, mobile, and other applications

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 - The Complete Dev BootCamp | Beginner-Expert {2024} with these activities:

Review JSON Syntax

Show steps

Solidify your understanding of JSON syntax, as MongoDB documents are stored in BSON, a binary representation of JSON. Reviewing JSON will help you better understand how to structure your data.

Show steps

Read documentation on JSON syntax and data types.
Practice writing JSON objects with different data types.
Use a JSON validator to check for syntax errors.

Read 'NoSQL Distilled'

Show steps

Expand your knowledge of NoSQL databases with a general overview of the topic. This book will help you understand the context of MongoDB and its alternatives.

View NoSQL Distilled: A Brief Guide to the Emerging... on Amazon

Show steps

Obtain a copy of 'NoSQL Distilled'.
Read the chapters that discuss document databases and their advantages.
Compare and contrast MongoDB with other NoSQL databases.

Read 'MongoDB: The Definitive Guide'

Show steps

Supplement your learning with a comprehensive guide to MongoDB. This book will provide additional depth and breadth to the course material.

View MongoDB on Amazon

Show steps

Obtain a copy of 'MongoDB: The Definitive Guide'.
Read the chapters relevant to the current course topics.
Experiment with the code examples provided in the book.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice CRUD Operations

Show steps

Reinforce your understanding of CRUD operations by performing repetitive exercises. This will help you become more comfortable with inserting, querying, updating, and deleting data in MongoDB.

Show steps

Create a sample database with several collections.
Practice inserting documents with different data types.
Write queries to retrieve specific documents based on various criteria.
Update existing documents with new information.
Delete documents that are no longer needed.

Create a Data Modeling Diagram

Show steps

Solidify your understanding of data modeling by creating a diagram that represents the structure of a MongoDB database for a real-world application. This will help you visualize the relationships between collections and documents.

Show steps

Choose a real-world application (e.g., e-commerce, social media).
Identify the key entities and their attributes.
Design the collections and documents to represent the data.
Create a diagram using a data modeling tool or by hand.

Build a Simple API with MongoDB

Show steps

Test and solidify your skills by building a simple API that interacts with a MongoDB database. This will give you practical experience with connecting to MongoDB, performing CRUD operations, and handling data in a real-world application.

Show steps

Set up a development environment with Node.js and MongoDB.
Install the necessary packages (e.g., Mongoose, Express).
Define the API endpoints for CRUD operations.
Implement the logic to connect to MongoDB and perform the operations.
Test the API endpoints with sample data.

Contribute to a MongoDB Open Source Project

Show steps

Deepen your understanding of MongoDB by contributing to an open-source project. This will give you exposure to real-world code, collaboration with other developers, and the opportunity to improve your skills.

Show steps

Find a MongoDB-related open-source project on GitHub.
Review the project's documentation and code.
Identify a bug or feature that you can contribute to.
Submit a pull request with your changes.

Career center

Learners who complete MongoDB - The Complete Dev BootCamp | Beginner-Expert {2024} 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 role involves designing databases, implementing access controls, and maintaining data consistency. This course helps build a foundation for database management by providing a thorough understanding of MongoDB, a popular NoSQL database. The course covers topics such as database design, data modeling, and query optimization, which are all essential for a successful database administrator. The course teaches how to perform CRUD operations, efficient data filtering, and uses the Aggregation Framework. All of these are highly relevant skills for any database administrator who works with MongoDB.

See salaries and explore the career path for Database Administrator

Data Engineer

A Data Engineer builds and maintains the infrastructure that allows for the collection, storage, and processing of large datasets. Data engineers must have strong database skills. This course helps data engineers by teaching them how to effectively use MongoDB, a common database solution for many applications. The course covers topics such as MongoDB installation, data modeling, performing CRUD operations and optimizing queries, which are core elements of data engineering. A data engineer should be comfortable with data types, JSON, and BSON as taught in this course. This course’s emphasis on practical examples make it an effective way to learn the nuances of working with MongoDB.

See salaries and explore the career path for Data Engineer

Backend Developer

A Backend Developer is responsible for the server-side logic of web and mobile applications. This role often involves working with databases to store and retrieve data. This course helps backend developers gain hands-on experience with MongoDB, a flexible and scalable NoSQL database. The course’s detailed coverage of CRUD operations, indexing, and the Aggregation Framework will be vital to a backend developer. The course teaches how to connect to server and client, how to manage data, and how to query data in a performant way, all of which are crucial for building robust backends. For any backend developer working with MongoDB, this course provides a strong set of tools for success.

See salaries and explore the career path for Backend Developer

Full-Stack Developer

Full Stack Developers work on both the front-end and back-end of applications. As such, they need to have broad knowledge of various technologies, including database management. This course is beneficial to full stack developers as it provides comprehensive instruction on MongoDB, a database frequently used in modern web applications. The course covers everything from setting up MongoDB to creating complex queries and data retrieval techniques using cursors. With practical experience in CRUD operations and indexing, a full stack developer will find this course a vital stepping stone to building fully-featured applications. A full stack developer wishing to use MongoDB would benefit greatly from this course.

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Software Developer

A Software Developer designs, develops, and tests software applications. Often, this includes managing data storage and retrieval. This course provides software developers with a thorough understanding of MongoDB. The course material covers essential database concepts such as data modeling, CRUD operations, and data query optimization, all of which are critical for efficient software development. The course emphasizes hands-on exercises and real-world examples which assist in practical skills. A software developer would find the broad coverage of MongoDB to be extremely helpful.

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Data Scientist

A Data Scientist analyzes complex data to extract meaningful insights and support decision-making. This role requires strong database skills for data wrangling and analysis. This course may be helpful to data scientists by providing a thorough understanding of MongoDB, a popular NoSQL database. While not all data science focuses on this database, many organizations use it extensively. This course covers data modeling, retrieval, and query optimization, which are all valuable skills for a data scientist. Understanding how to work with JSON and BSON is also crucial for data scientists. This course could be a good introduction to database concepts and MongoDB for a data scientist.

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Cloud Engineer

A Cloud Engineer manages and maintains cloud computing infrastructure. This often includes databases. This course may be useful for Cloud Engineers who are in charge of database provisioning as it provides a thorough understanding of MongoDB. The course covers MongoDB installation and management, data modeling, and operational insights which are useful for cloud infrastructure. Understanding how to connect to servers and clients is also valuable for a Cloud Engineer. A cloud engineer will find this course a helpful introduction to database systems.

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Solutions Architect

A Solutions Architect designs and manages software solutions for various business needs. This role requires a wide range of knowledge of different technologies. This course may be useful for Solutions Architects, who must understand database options when designing a system as it provides a good overview of MongoDB's capabilities. The course covers data modeling, data retrieval techniques, and schema validation, all of which are vital for considering a database's fit in a software project. While not all projects use MongoDB, it is a common enough database that understanding it is valuable to a solutions architect. A solutions architect may find it helpful to learn about MongoDB.

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Technical Project Manager

A Technical Project Manager oversees technology-based projects from initiation to completion. This role requires a broad understanding of various systems, including databases. This course may be useful for a Technical Project Manager who needs to have an understanding of MongoDB. While not directly working on the database itself, a Technical Project Manager should be familiar with the technology and its capabilities. By covering installation, data modeling, and querying, a technical project manager will be better equipped to manage projects involving MongoDB. A Technical Project Manager may benefit from having this introduction to databases.

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Business Intelligence Analyst

A Business Intelligence Analyst uses data to help businesses make better decisions. This role involves working with databases and analyzing data trends. This course may be helpful for a Business Intelligence Analyst as it provides an introduction to querying and working with MongoDB. While not all business intelligence requires this particular database, this course provides a foundation in querying that may be transferrable. Learning how to write queries and work with data will help a Business Intelligence Analyst. This course may prove to be useful for a Business Intelligence Analyst.

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System Analyst

A System Analyst studies the current computer systems and procedures in an organization and designs information systems solutions to help the organization operate more efficiently and effectively. System analysts may find this course useful because it provides a solid foundation in database concepts and MongoDB. By covering topics such as data modeling, CRUD operations, and querying, this course will help a system analysts understand the inner workings of MongoDB. Being aware of the capabilities and constraints of different databases will help a System Analyst design better solutions. A system analyst may find this course helpful.

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IT Consultant

An IT Consultant provides advice and guidance on technology-related issues to businesses. This role requires a broad understanding of many different systems, including databases. While not all IT consultants work on specific databases, this course provides an introduction to MongoDB that may be useful to an IT consultant. Understanding data modeling, querying, and schema validation will aid a consultant evaluate a database's fit within their client's organization. An IT Consultant may benefit from taking this course.

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Technical Support Specialist

A Technical Support Specialist provides technical assistance to users experiencing issues with software or hardware. While this role does not traditionally involve database management, understanding how they work can be helpful. This course may be useful for a Technical Support Specialist who has to address issues related to an application using MongoDB. The course's introduction to setting up MongoDB, connecting to servers, and performing basic queries can be valuable for diagnosing and resolving database-related issues. A technical support specialist may find this course useful for understanding the systems they manage.

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Quality Assurance Engineer

A Quality Assurance Engineer tests software to ensure it meets the required standards. This role often includes testing database interactions. This course may be useful for a Quality Assurance Engineer who needs to verify the behavior of applications that use MongoDB. The course covers how data is stored, queried, and structured which is valuable to a tester. A Quality Assurance Engineer would find this course helpful.

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Teaching Assistant

A Teaching Assistant supports educators in delivering course material and ensuring student success. This course may be useful for a Teaching Assistant as it provides a thorough understanding of MongoDB. The course material covers an entire curriculum from introduction to advanced features and concepts such as data modeling, querying, and handling real world examples. By understanding the material deeply, an instructor or teaching assistant will be better able to deliver it effectively to students. This course may be useful for a Teaching Assistant who wants to teach database concepts.

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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 MongoDB - The Complete Dev BootCamp | Beginner-Expert {2024}.

MongoDB

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Provides a comprehensive overview of MongoDB, covering everything from basic concepts to advanced features. It serves as a valuable reference for understanding MongoDB's architecture, data modeling techniques, and query optimization strategies. It is particularly useful for developers who want to deepen their understanding of MongoDB beyond the basics covered in the course. This book is commonly used by industry professionals.

NoSQL Distilled

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Provides a broad overview of NoSQL databases, including MongoDB, and their use cases. It helps you understand the different types of NoSQL databases and when to choose them over traditional relational databases. It is more valuable as additional reading to provide context for MongoDB's place in the broader data storage landscape. This book is commonly used as a reference by software architects.

NoSQL Distilled: A Brief Guide to the Emerging...

Kindle Edition

MongoDB - The Complete Dev BootCamp | Beginner-Expert {2024}

What's inside

Learning objectives

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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