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Jonathan Mills
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Teaches skills and knowledge that are core skills for Node.js developers
Explores MongoDB, which is a defacto standard for Node.js applications
Provides hands-on interactive materials
Taught by recognized experts in MongoDB
Requires learners to come in with background knowledge

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Career center

Learners who complete Using MongoDB with Node.js will develop knowledge and skills that may be useful to these careers:
Big Data Engineer
A Big Data Engineer designs and develops systems for collecting, storing, and analyzing large datasets. MongoDB is a database technology that can be used for big data applications. This course could help build a foundation in using MongoDB for big data engineering.
Back-End Developer
A Back-End Developer designs and develops the server-side of web applications and services. They may work with databases and APIs, and this course could help build a foundation in MongoDB, which could be used in their work.
Data Engineer
A Data Engineer may design and build data pipelines, create relational databases, and aggregate and analyze data to support business processes. The Using MongoDB with Node.js course may be useful as it can help build a foundation in MongoDB technology, a type of NoSQL database used for data aggregation that is commonly used in this role.
Data Scientist
A Data Scientist uses data to extract insights and knowledge. MongoDB is often used for storing and managing large datasets and performing aggregation and analysis. This course may be useful for gaining a foundation in MongoDB, which could be used for data science tasks.
Database Administrator
A Database Administrator designs, implements, and manages database systems. This course may be useful for learning how to create, read, update, and delete data in a MongoDB database. This is a common function of a DBA.
Technical Writer
A Technical Writer researches, writes, and edits technical documentation. They may work with software engineers and developers to document software and application functionality. This course may be helpful as it provides an overview of MongoDB and its features, which could be included in technical documentation.
Web Developer
A Web Developer designs, builds, and maintains websites and web applications. This course may be helpful, as MongoDB is a commonly used database for storing and managing data for web applications.
Data Analyst
A Data Analyst plans, performs, and evaluates analyses of data, and draws conclusions from the results. This course may be useful as it focuses on using MongoDB databases, which are known for their flexibility and ability to process large datasets. This course could help build a foundation in MongoDB, which a Data Analyst might use in their day-to-day work.
Software Developer
A Software Developer designs, develops, and maintains software applications. This course may be helpful, as MongoDB is a database software that can be used in a variety of applications.
Mobile Developer
A Mobile Developer designs, builds, and maintains mobile apps. MongoDB Realm is a mobile database platform, and this course could help build a foundation in MongoDB, which could be used in their work.
Cloud Architect
A Cloud Architect designs and implements cloud-based solutions. MongoDB Atlas is a cloud database service offered by MongoDB. Taking the Using MongoDB with Node.js course may be helpful as it could build a foundational understanding of MongoDB and MongoDB Atlas.
Information Architect
An Information Architect designs and implements information systems. MongoDB is a database technology that can be used to manage and organize information. This course could provide a foundation in using MongoDB for information management.
Technical Architect
A Technical Architect designs and develops software systems. MongoDB is a popular database technology, so this course may be useful for gaining a better understanding of how to use it when designing and developing software systems.
Product Manager
A Product Manager plans, develops, and launches new products and services. They may work with engineers and developers to build and improve products. This course may be useful for gaining a better understanding of MongoDB, a database technology that can be used to support product development.
DevOps Engineer
A DevOps Engineer helps build, deploy, and maintain software. MongoDB is a popular database for many applications, so this course may be helpful in understanding how to use it within a DevOps workflow.

Reading list

We haven't picked any books for this reading list yet.
Focuses on using MongoDB with Python, covering common patterns and processes for developers working with this language. It's a good resource for Python developers integrating MongoDB into their projects.
Guides developers in building web applications using MongoDB and Node.js, a common stack. It provides practical steps and examples for integrating these technologies.
An earlier edition of a definitive guide, this book provides a solid foundation in MongoDB concepts. While not covering the latest features, it's still valuable for understanding the core principles and history of MongoDB.
Covers a range of MongoDB topics from introduction to advanced data modeling and query optimization. It aims to help readers unlock the full potential of MongoDB.
Practical guide for MongoDB administrators, offering numerous recipes for common administration tasks. It's a useful reference for maintaining and managing MongoDB deployments.
Practical guide to using MongoDB. It covers a wide range of topics, including data modeling, querying, aggregation, and replication.
Collection of recipes for sharding MongoDB. It good resource for anyone who needs to shard their MongoDB deployment.
Guide to using MongoDB Compass. It good resource for anyone who wants to learn how to use MongoDB Compass to manage their MongoDB deployments.
Guide to using MongoDB with Java. It good resource for anyone who wants to learn how to use MongoDB from a Java application.
Provides a comprehensive introduction to MongoDB, covering foundational concepts, querying, indexing, and administration. It's suitable for beginners and serves as a strong reference for developers and administrators. The 3rd edition is updated for MongoDB 4.2, making it relatively current and a valuable resource for gaining a broad understanding.
An advanced guide to MongoDB 7.0 and MongoDB Atlas, this book delves into topics like advanced queries, aggregation pipelines, transactions, and security. It's ideal for experienced MongoDB users looking to deepen their knowledge and master the latest features, including Atlas Vector Search for AI applications.
Great starting point for MongoDB beginners, introducing core concepts and practical application with MongoDB Atlas. It covers data modeling, querying, aggregation, replication, and security fundamentals. Its hands-on approach makes it valuable for those new to NoSQL databases.
Focusing specifically on data modeling in MongoDB, this book is crucial for understanding how to design effective schemas in a document database. It covers various design patterns and best practices, which is essential for anyone moving beyond basic CRUD operations and building scalable applications.
Is dedicated to the MongoDB aggregation framework, a powerful tool for data analysis and transformation. It's highly relevant for users who need to perform complex data processing within MongoDB. The focus on optimization makes it particularly useful for developers and data analysts.
Provides expert-level techniques for managing and optimizing MongoDB 6.x deployments. It covers advanced administration topics, performance tuning, and high availability. It's a valuable resource for database administrators and senior developers working with MongoDB in production environments.
While not exclusively about MongoDB, this book provides essential context on data systems, including NoSQL databases. It covers fundamental concepts of data modeling, replication, partitioning, and consistency. It's highly recommended for anyone seeking a deeper understanding of the principles behind databases like MongoDB.
Offers a concise introduction to MongoDB and NoSQL databases, suitable for absolute beginners. It covers installation, basic operations, and fundamental design concepts. It's a good starting point before moving on to more comprehensive resources.
Is tailored for .NET developers looking to use MongoDB Atlas. It covers connecting .NET applications to MongoDB Atlas and performing CRUD operations. It's a practical guide for a specific development stack.

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