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Academind by Maximilian Schwarzmüller and Maximilian Schwarzmüller

Join this bestselling MongoDB course to learn all about this extremely popular database and query language from the ground up, in great detail and with many practical examples.

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MongoDB is one of the most important NoSQL databases you can work with. It's extremely popular and MongoDB developers are in high demand.

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.

Read more

Join this bestselling MongoDB course to learn all about this extremely popular database and query language from the ground up, in great detail and with many practical examples.

-

MongoDB is one of the most important NoSQL databases you can work with. It's extremely popular and MongoDB developers are in high demand.

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.

MongoDB makes working with data simple - it's built on a philosophy that prioritizes performance and efficiency.

In this course, you learn all about MongoDB from scratch. No prior MongoDB or database experience is required.

In detail, you'll learn:

  • How to install and use MongoDB locally and in the cloud (MongoDB Atlas)

  • How to perform CRUD (Create, Read, Update, Delete) operations on MongoDB databases

  • How to filter for data efficiently

  • How to work with both the Mongo Shell and drivers (e.g. Node.js driver)

  • How to increase performance by using indexes (and how to use the right indexes. )

  • How to use the amazing "Aggregation Framework" that's built into MongoDB

  • What replica sets and sharding are

  • How to use MongoDB Atlas - the cloud solution offered by MongoDB

  • How to use the serverless platform (Stitch) offered by MongoDB

  • And much more.

This course is a hands-on course - you'll learn by writing code/ commands. We'll work on a wide variety of example data and use-cases and by the end of the course, you'll have all the knowledge you need to work with MongoDB in your next project.

This course is for you, no matter which programming language you plan on using, you'll learn a uniform way of interacting with MongoDB that can be easily applied to any language.

This course is for you:

  • if you're brand-new to MongoDB and databases in general

  • if you got some basic database or even MongoDB experience - in this course, there are different entry points you can choose from.

  • if you are a web or mobile app (or desktop app) developer who considers using MongoDB

  • if you're working in a team that considers using MongoDB (or already does use it)

  • if you are primarily using SQL-based databases so far and you want to explore the most popular NoSQL alternative

This course is NOT for you:

  • if you're looking for a guide on administrating MongoDB servers => This course focuses on the commands/ queries you write, it's NOT an administration course. I will show (in detail) how to deploy a ready-to-use cloud MongoDB solution that follows best practices though.

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What's inside

Learning objectives

  • Learn what document databases are and how data is organized with mongodb
  • Learn how to perform crud operations with mongodb
  • Don't stop at the basics - learn all about writing complex mongodb queries, in-depth and with practical examples!
  • Write efficient and well-performing queries to fetch data in the format you need it
  • Use all features mongodb offers you to work with data efficiently

Syllabus

Introduction

Welcome to the course! Let me introduce myself and give you a rough overview of the course!

Let's dive into the most important question: What is MongoDB? What is it all about? MongoDB is a NoSQL database and in this lecture, we'll explore why it's awesome!

Read more

Learning alone is absolutely fine but finding learning partners might be a nice thing, too. Our learning community is a great place to learn and grow together - of course it's 100% free and optional!

MongoDB has a couple of key characteristics that set it apart from other databases - let's explore which characteristics these are.

MongoDB is more than just a database engine - it's a company and a rich ecosystem of tools. In this lecture, you'll get a thorough overview of all the different pieces that make up MongoDB.

General Setup Instructions & Installing MongoDB on macOS
Installing MongoDB on Windows
Installing the MongoDB Shell
Installing mongoimport

With the MongoDB tools installed, it's time to get started. Let's spin up a MongoDB server (on our local machine) and connect to it!

When it comes to connecting to a MongoDB database, you got various options, most importantly: The local shell or drivers for different programming languages. Let me explain the differences.

We learned about a lot of different pieces that work together - here's a big picture that puts everything into context.

We know what MongoDB is - but what's in this course? In this lecture, you'll get an overview of the course content and the order in which it is presented.

It's important to me that you succeed, hence in this lecture, I'll share some best practices regarding how to use the various course resources.

Understanding the Basics & CRUD Operations
Module Introduction
Understanding Databases, Collections & Documents
The Shell & MongoDB Drivers for Different Languages
Creating Databases & Collections
Understanding JSON Data
Comparing JSON & BSON
Create, Read, Update, Delete (CRUD) & MongoDB
Finding, Inserting, Deleting & Updating Elements
Understanding "insertMany()"
Diving Deeper Into Finding Data
"update" vs "updateMany()"
Understanding "find()" & the Cursor Object
Understanding Projection
Embedded Documents & Arrays - The Theory
Working with Embedded Documents
Working with Arrays
Accessing Structured Data
Time to Practice - The Basics & CRUD Operations
Wrap Up
Useful Resources & Links
Students will learn how they may model their data and reflect it in MongoDB.
Resetting Your Database
Why Do We Use Schemas?
Structuring Documents
Data Types - An Overview
Data Types in Action
Data Types & Limits
How to Derive your Data Structure - Requirements
Understanding Relations
One To One Relations - Embedded
One To One - Using References
One To Many - Embedded
One To Many - Using References
Many To Many - Embedded
Many To Many - Using References
Summarizing Relations
Using "lookUp()" for Merging Reference Relations
Planning the Example Exercise
Implementing the Example Exercise
Understanding Schema Validation
Adding Collection Document Validation
Changing the Validation Action
Exploring The Shell & The Server
Finding Available Options
Setting "dbpath" & "logpath"
Exploring the MongoDB Options
MongoDB as a Background Service
Using a Config File
Shell Options & Help
Students will learn how they may use the "Compass" tool provided by MongoDB to view their data in a graphical user interface (and manipulate it, too).
Exploring the MongoDB Compass
Diving Into Create Operations
Creating Documents - An Overview
Understanding "insert()" Methods
Working with Ordered Inserts
Understanding the "writeConcern"
The "writeConcern" in Practice
What is Atomicity?
Time to Practice - Create Operations
Importing Data
Read Operations - A Closer Look
Methods, Filters & Operators
Operators - An Overview
Query Selectors & Projection Operators
Understanding "findOne()" & "find()"
Working with Comparison Operators
Querying Embedded Fields & Arrays
Understanding "$in" and "$nin"
"$or" and "$nor"
Understanding the "$and" Operator
Using "$not"
Diving Into Element Operators
Working with "$type"

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
This course covers essential MongoDB skills, including CRUD operations, querying, performance optimization, and aggregation
Taught by Maximilian Schwarzmüller, an experienced instructor with a strong reputation in the field
Suitable for all experience levels, providing a solid foundation for beginners and valuable insights for intermediate learners
Offers a practical approach with hands-on exercises and examples, ensuring a deeper understanding of MongoDB concepts
Covers a wide range of MongoDB features, including indexes, aggregation framework, replica sets, and MongoDB Atlas
Provides access to the instructor's learning community for support and collaboration

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Reviews summary

Excellent mongodb course

Learners say this is an amazing course to learn MongoDB. The instructor is highly praised as being an amazing teacher who can teach concepts very well.

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 Developer's Guide 2024 with these activities:
Review Data Modeling Concepts
Strengthen your foundation by reviewing data modeling principles and best practices.
Browse courses on Data Modeling
Show steps
  • Read books or articles on data modeling.
  • Watch videos or attend workshops on database design.
  • Practice creating ER diagrams and data models.
  • Discuss data modeling concepts with peers or mentors.
Organize Course Materials
Improve organization and accessibility by compiling and organizing all course-related materials in one place.
Show steps
  • Create a dedicated folder or notebook for the course.
  • Gather and sort lecture notes, assignments, quizzes, and other materials.
  • Use a digital tool or physical organizer to keep track of deadlines and important information.
  • Review and update your materials regularly.
Join a MongoDB Study Group
Enhance understanding and gain different perspectives by collaborating with peers in a study group setting.
Show steps
  • Find a study group or create your own with classmates or online communities.
  • Set regular meeting times and establish a study plan.
  • Discuss course concepts, share knowledge, and work on exercises together.
  • Provide feedback and support to each other.
Show all three activities

Career center

Learners who complete MongoDB - The Complete Developer's Guide 2024 will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database Administrators are responsible for ensuring that databases are running smoothly and efficiently. They may also be responsible for designing and implementing new database systems. This course can help Database Administrators by providing them with a deep understanding of MongoDB, one of the most popular NoSQL databases. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Database Administrators will be well-equipped to manage MongoDB databases and ensure that they are meeting the needs of their organizations.
Database Architect
Database Architects are responsible for designing and managing databases. They may also be responsible for developing and implementing database strategies. This course can help Database Architects by providing them with a deep understanding of MongoDB, one of the most popular NoSQL databases. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Database Architects will be well-equipped to design and manage MongoDB databases.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data. They use this data to identify trends and patterns that can help businesses make better decisions. This course can help Data Analysts by providing them with a strong foundation in MongoDB, a powerful database that is well-suited for storing and analyzing large amounts of data. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and data visualization. By completing this course, Data Analysts will be well-equipped to use MongoDB to extract valuable insights from data.
Data Scientist
Data Scientists are responsible for developing and applying statistical and machine learning models to data. They use these models to make predictions and recommendations that can help businesses improve their operations. This course can help Data Scientists by providing them with a strong foundation in MongoDB, a powerful database that is well-suited for storing and analyzing large amounts of data. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and data visualization. By completing this course, Data Scientists will be well-equipped to use MongoDB to build and deploy machine learning models.
Web Developer
Web Developers are responsible for designing and developing websites and web applications. They may also be responsible for managing databases and other infrastructure. This course can help Web Developers by providing them with a deep understanding of MongoDB, one of the most popular NoSQL databases. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Web Developers will be well-equipped to use MongoDB to build and deploy scalable and efficient web applications.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They may also be responsible for managing databases and other infrastructure. This course can help Software Engineers by providing them with a deep understanding of MongoDB, one of the most popular NoSQL databases. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Software Engineers will be well-equipped to use MongoDB to build and deploy scalable and efficient software applications.
Mobile Developer
Mobile Developers are responsible for designing and developing mobile applications. They may also be responsible for managing databases and other infrastructure. This course can help Mobile Developers by providing them with a deep understanding of MongoDB, one of the most popular NoSQL databases. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Mobile Developers will be well-equipped to use MongoDB to build and deploy scalable and efficient mobile applications.
Data Warehouse Analyst
Data Warehouse Analysts are responsible for designing, building, and maintaining data warehouses. They may also be responsible for extracting data from operational systems and loading it into the data warehouse. This course can help Data Warehouse Analysts by providing them with a deep understanding of MongoDB, a powerful database that is well-suited for storing and analyzing large amounts of data. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Data Warehouse Analysts will be well-equipped to use MongoDB to build and deploy scalable and efficient data warehouses.
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They may also be responsible for managing databases and other infrastructure. This course can help Data Engineers by providing them with a deep understanding of MongoDB, one of the most popular NoSQL databases. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and sharding. By completing this course, Data Engineers will be well-equipped to use MongoDB to build and deploy scalable and efficient data pipelines.
Business Analyst
Business Analysts are responsible for gathering and analyzing data to help businesses make better decisions. They may also be responsible for developing and implementing new business processes. This course can help Business Analysts by providing them with a strong foundation in MongoDB, a powerful database that is well-suited for storing and analyzing large amounts of data. The course covers everything from the basics of MongoDB to more advanced topics such as aggregation and data visualization. By completing this course, Business Analysts will be well-equipped to use MongoDB to extract valuable insights from data and make better decisions.
Sales Engineer
Sales Engineers are responsible for selling software and other technical products. They may also be responsible for providing technical support to customers. This course may be useful for Sales Engineers who are selling products that use MongoDB. The course can help Sales Engineers understand the basics of MongoDB and how it can be used to solve business problems.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They may also be responsible for managing budgets and resources. This course may be useful for Project Managers who are working on projects that involve data management. The course can help Project Managers understand the basics of MongoDB and how it can be used to store and manage data.
IT Consultant
IT Consultants are responsible for providing advice and guidance to businesses on how to use technology to improve their operations. They may also be responsible for implementing new technology solutions. This course may be useful for IT Consultants who are working with businesses that are using or considering using MongoDB. The course can help IT Consultants understand the basics of MongoDB and how it can be used to solve business problems.
Product Manager
Product Managers are responsible for developing and launching new products. They may also be responsible for managing product roadmaps and budgets. This course may be useful for Product Managers who are working on products that involve data management. The course can help Product Managers understand the basics of MongoDB and how it can be used to store and manage data.
Technical Writer
Technical Writers are responsible for creating documentation for software and other technical products. They may also be responsible for training users on how to use these products. This course may be useful for Technical Writers who are writing documentation for products that use MongoDB. The course can help Technical Writers understand the basics of MongoDB and how it can be used to store and manage data.

Reading list

We've selected six 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 Developer's Guide 2024.
Comprehensive guide to MongoDB, covering everything from the basics to advanced topics. It valuable resource for both beginners and experienced MongoDB users.
Guide to advanced MongoDB topics. It covers topics such as replication, sharding, and security. It's a good resource for those who want to learn how to use MongoDB in a production environment.
Guide to NoSQL databases for those who are new to the topic. It covers topics such as different types of NoSQL databases, when to use NoSQL, and how to choose the right NoSQL database for your needs.
Guide to the internal workings of distributed data systems. It covers topics such as data structures, indexing, and replication. It's a good resource for those who want to learn more about how MongoDB works.
Guide to using MongoDB with Node.js. It valuable resource for developers who want to learn how to use MongoDB with Node.js.
Guide to using MongoDB with Java. It valuable resource for developers who want to learn how to use MongoDB with Java.

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