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Using MongoDB with Node.js

Jonathan Mills
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MongoDB Node.js Database Management CRUD Operations Document Databases Data Aggregation Aggregation Pipeline

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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.
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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.
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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.
See salaries and explore the career path for Data Engineer
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Database Administrator
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.
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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.
See salaries and explore the career path for Web Developer
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.
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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.
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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.
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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.
See salaries and explore the career path for Cloud Architect
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.
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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.
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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.
See salaries and explore the career path for Product Manager
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.
See salaries and explore the career path for DevOps Engineer

Reading list

We've selected 50 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 Using MongoDB with Node.js.
Cover image
Designing Data-Intensive Applications
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Is highly relevant for understanding contemporary database topics, particularly in the context of distributed systems, scalability, and various data storage technologies like NoSQL. It is excellent for professionals and advanced students looking to deepen their understanding of modern data systems and their trade-offs.
Designing Data-Intensive Applications: The Big...
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Designing Data-Intensive Applications: The Big...
Kindle Edition
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SQL for Data Analytics
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A practical guide specifically tailored for data analysis using SQL. would be highly relevant for understanding how to perform various aggregation tasks directly within a database environment. It likely covers essential SQL functions and techniques for summarizing and manipulating data for analytical purposes.
SQL for Data Analytics - Third Edition: Harness the...
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SQL for Data Analytics: Harness the power of SQL to...
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Node.js Design Patterns
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Provides a comprehensive overview of design patterns in Node.js, covering both fundamental and advanced patterns. It valuable resource for developers looking to improve the design and maintainability of their Node.js applications.
Node.js Design Patterns - Third edition: Design and...
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Node.js Design Patterns - Second Edition: Master...
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Database System Concepts
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La edición en español de este reconocido libro de texto ofrece una introducción completa a los conceptos fundamentales de los sistemas de bases de datos, cubriendo teoría y práctica. Es un recurso excelente para estudiantes de habla hispana que buscan una comprensión amplia y a menudo se utiliza como libro de texto principal en instituciones académicas.
Database System Concepts
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Fundamentals of Database Systems
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Another staple in database education, this book offers a broad coverage of database system concepts, from basic to advanced topics. Its clear explanations and examples make it valuable for students and professionals seeking to deepen their knowledge. It serves as a strong foundation for understanding database design and implementation.
Fundamentals of Database Systems
Hardcover
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Fundamentals Of Database System, 7Th Edn
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Fundamentals of Database Systems, Global Edition
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Fundamentals of Database Systems (6th Edition)
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Fundamentals of Database Systems, 5th Edition
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"Fundamentals of Database Systems"
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Datu-base sistemak. Oinarriak
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Practical SQL, 2nd Edition
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Is an approachable guide to SQL, focusing on using the language for data analysis and finding insights. It's particularly useful for those new to databases and SQL, providing practical examples of aggregating, sorting, and filtering data. The second edition is updated to reflect the latest SQL features and includes new chapters on system setup and using PostgreSQL with JSON.
Practical SQL, 2nd Edition: A Beginner's Guide to...
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Practical SQL, 2nd Edition: A Beginner's Guide to...
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SQL Queries for Mere Mortals
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This practical guide focuses specifically on SQL queries and data manipulation, which directly relates to the Read, Update, and Delete aspects of CRUD. It provides hands-on examples and clear explanations for writing effective SQL statements. is particularly useful for those who need to work directly with relational databases and SQL.
SQL Queries for Mere Mortals: A Hands-On Guide to...
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SQL Queries for Mere Mortals: A Hands-On Guide to...
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SQL Queries for Mere Mortals: A Hands-on Guide to...
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SQL Queries for Mere Mortals: A Hands-On Guide to...
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Database Internals
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For those looking to deepen their understanding of how database systems function internally, this book provides a detailed exploration of topics like storage engines, indexing, and transaction processing in distributed systems. It is suitable for advanced students and professionals.
Database Internals: A Deep Dive into How...
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Database Internals: A Deep Dive into How...
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MongoDB
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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.
MongoDB
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MongoDB
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Node.js in Action
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Offers a comprehensive introduction to Node.js, covering everything from the basics to advanced topics such as scaling and performance optimization. It great choice for developers who are new to Node.js or want to deepen their understanding of the platform.
Node.js in Action
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Spark: The Definitive Guide
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This comprehensive guide to Apache Spark is essential for understanding data aggregation in big data environments. Spark powerful engine for large-scale data processing, and this book covers its core APIs, including DataFrames and Spark SQL, which are used extensively for aggregation on distributed datasets. It is written by the creators of Spark and must-read for anyone working with big data aggregation.
Spark: The Definitive Guide: Big Data Processing...
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Spark: The Definitive Guide: Big Data Processing...
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MongoDB in Action
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This practical guide focuses on using MongoDB effectively in real-world applications. It covers schema design, querying, and development patterns. The latest edition includes updated information on MongoDB 8.0 and Atlas, making it relevant for contemporary topics and a good resource for professionals and advanced students.
MongoDB in Action
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SQL Antipatterns
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Identifies common mistakes and poor practices when working with SQL and relational databases. Understanding these antipatterns helps in writing better SQL for CRUD operations, leading to improved performance and maintainability. It's a valuable resource for developers looking to deepen their SQL knowledge.
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Practical MongoDB Aggregations
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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.
Practical MongoDB Aggregations: The official guide...
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MongoDB: The Definitive Guide
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A comprehensive guide specifically for MongoDB, a leading document database. covers everything from installation and basic concepts to advanced topics like indexing, aggregation, and replication. It's suitable for gaining a broad understanding of MongoDB and is often used as a reference or textbook.
MongoDB: The Definitive Guide
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The DynamoDB Book
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Considered an authoritative resource on Amazon DynamoDB, this book provides a comprehensive guide to data modeling with DynamoDB. It is highly recommended for understanding how to correctly model data for NoSQL applications using this specific service.
The DynamoDB Book
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Database Design for Mere Mortals
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Provides a practical and easy-to-understand guide to relational database design. A solid database design is fundamental to implementing efficient and correct CRUD operations. This book is highly recommended for anyone involved in designing the structure of relational databases.
Database Design for Mere Mortals: 25th Anniversary...
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Database Design for Mere Mortals: A Hands-On Guide...
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Database Design for Mere Mortals: A Hands-On Guide...
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Database Design for Mere Mortals: A Hands-On Guide...
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Database Design for Mere Mortals(r)...
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Mastering MongoDB 7.0
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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.
Mastering MongoDB 7.0: Achieve data excellence by...
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Database Design for Mere Mortals
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La edición en español de 'Database Design for Mere Mortals' ofrece una guía práctica y accesible para el diseño de bases de datos relacionales. Es ideal para principiantes y aquellos sin experiencia técnica previa, enfocándose en principios de diseño fundamentales con explicaciones claras y sin jerga.
Database Design for Mere Mortals
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Database Design for Mere Mortals
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MongoDB Data Modeling and Schema Design
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This is the Chinese version of the Data Modeling book, providing valuable content on designing MongoDB schemas for Chinese-speaking audiences. It covers the same essential concepts and patterns for effective data modeling in MongoDB.
MongoDB Data Modeling and Schema Design
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MongoDB Data Modeling and Schema Design
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Mastering MongoDB 6.x
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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.
Mastering MongoDB 6.x: Expert techniques to run...
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MongoDB in Action
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Focuses on the practical application of the MongoDB Aggregation Pipeline. It provides real-world examples and use cases, showing how to use the pipeline to solve common data analysis problems.
MongoDB in Action: Covers MongoDB version 3.0
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MongoDB in Action, 2ed: Covers MongoDB Version 3.0
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Amazon DynamoDB - The Definitive Guide
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Comprehensive guide to Amazon DynamoDB, a key-value and document database service. It covers its architecture, data model, and features, including advanced techniques. It's highly relevant for those interested in cloud-based document databases and is endorsed for learning DynamoDB within Amazon.
Amazon DynamoDB - The Definitive Guide: Explore...
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Amazon DynamoDB - The Definitive Guide: Explore...
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Oracle 10g Data Warehousing
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Provides a comprehensive overview of using the MongoDB Aggregation Pipeline for data warehousing. It covers topics such as data modeling, data loading, and data analysis.
Oracle 10g Data Warehousing
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Oracle 10g Data Warehousing
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MongoDB Fundamentals
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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.
MongoDB Fundamentals: A hands-on guide to using...
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Spark in Action
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Provides a practical approach to using Apache Spark for building data analytics applications. It covers various aspects of Spark, including data processing and real-time computation, which involve data aggregation techniques. The second edition covers Apache Spark 3 with examples in Java, Python, and Scala.
Spark in Action: Covers Apache Spark 3 with...
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MongoDB Complete Guide
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This guide covers MongoDB from basics to advanced topics, including installation, CRUD operations, indexing, aggregation, replication, and sharding. It aims to provide a comprehensive understanding for both developers and administrators.
MongoDB Complete Guide: Develop Strong...
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MongoDB Complete Guide: Develop Strong...
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RESTful Web APIs
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Provides a deep dive into designing and building RESTful web APIs, a common way to expose CRUD functionality over the web. It explains the principles of REST and how to apply them to create effective data interactions. It's a key resource for developers working on web services.
RESTful Web APIs: Services for a Changing World
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RESTful Web APIs: Services for a Changing World
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Relational Database Design and Implementation
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Provides a clear explanation of relational database design principles and their implementation. It is suitable for students and professionals who need to understand how to design and manage relational databases effectively, covering both theory and practical aspects.
Relational Database Design and Implementation:...
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Relational Database Design and Implementation:...
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Relational Database Design and Implementation:...
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Relational Database Design and Implementation:...
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Scaling MongoDB
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Focuses on the critical aspect of scaling MongoDB deployments. It delves into topics like replication and sharding, which are essential for handling large datasets and high traffic. It's a valuable resource for those building scalable applications with MongoDB.
Scaling MongoDB: Sharding, Cluster Setup, and...
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High Performance MySQL
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A practical guide for MySQL users looking to optimize performance and manage their databases effectively. dives into advanced topics specific to MySQL, making it valuable for professionals working with this popular relational database system.
High Performance MySQL: Optimization, Backups, and...
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High Performance MySQL: Optimization, Backups,...
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(中文) High Performance MySQL ( 3rd Edition ) (MySQL...
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Seven Databases in Seven Weeks
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Offers a practical introduction to a variety of modern databases, including both SQL and NoSQL systems. It provides a hands-on approach to understanding different database models and their strengths and weaknesses, valuable for gaining a broad perspective on the database landscape.
(中文) 七周七数据库（异步图书） (Chinese Edition)
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KATRINA RETURNS TO THE GULF COAST (A story of unity...
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An illustrated and beginner-friendly guide to relational database design and SQL. focuses on making the concepts approachable with hands-on exercises, making it ideal for those new to database design and SQL.
KATRINA RETURNS TO THE GULF COAST (A story of unity...
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KATRINA RETURNS TO THE GULF COAST (A story of unity...
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Mastering MongoDB
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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.
Mastering MongoDB: A Comprehensive Guide to NoSQL...
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Cassandra: The Definitive Guide
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Provides a detailed guide to Apache Cassandra, a widely-used NoSQL wide-column store database. It's useful for understanding the architecture and practical use cases of Cassandra, relevant for those exploring different NoSQL options.
Cassandra: The Definitive Guide
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Cassandra: The Definitive Guide
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SQL in 10 Minutes a Day
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A popular choice for quickly learning the basics of SQL. is structured into short, focused lessons that cover essential SQL commands, including the core CRUD operations. It's a great starting point for absolute beginners who need to get up to speed with SQL quickly.
SQL in 10 Minutes a Day, Sams Teach Yourself
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The Pragmatic Programmer
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Offers timeless advice on software development practices, including tips on working with databases and managing data. The principles discussed can be applied to writing robust and efficient code for CRUD operations. This book is more valuable as additional reading than it is as a current reference.
The Pragmatic Programmer: Your Journey To Mastery,...
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Pragmatic Programmer, The: From Journeyman to Master
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(Italiano) Pragmatic Programmer - Edizione del 20°...
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(Italiano) Il Pragmatic Programmer: Guida per manovali del...
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(中文) The Pragmatic Programmer: access to the highest...
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Pragmatic programmer (Korean Edition)
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Database Security
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Focuses on the essential aspects of database security, covering topics from installation and testing to auditing and preventing SQL injection. It's a practical guide for IT professionals and students interested in protecting database systems. While the publication date is older, the fundamental security principles remain relevant.
Database Security
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Database Security
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Cover image
Seven Databases in Seven Weeks
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Offers a practical introduction to a variety of databases, including document databases like CouchDB and MongoDB. It provides hands-on experience with different NoSQL models, which is great for gaining a broad understanding of the landscape and how document databases fit in.
Seven Databases in Seven Weeks: A Guide to Modern...
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Seven Databases in Seven Weeks: A Guide to Modern...
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Cover image
Practical MongoDB Aggregations
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This technical guide focuses specifically on the MongoDB aggregation framework, a powerful tool for data processing and analysis within MongoDB. It's valuable for users looking to deepen their understanding of advanced querying techniques in MongoDB.
Practical MongoDB Aggregations: The official guide...
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Practical MongoDB Aggregations: The official guide...
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Web Development with MongoDB and Node.js
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Guides developers in building web applications using MongoDB and Node.js, a common stack. It provides practical steps and examples for integrating these technologies.
Web Development with MongoDB and Node.js
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MongoDB Administrator's Guide
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Practical guide for MongoDB administrators, offering numerous recipes for common administration tasks. It's a useful reference for maintaining and managing MongoDB deployments.
MongoDB Administrator's Guide
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MongoDB Administrator's Guide: Over 100 practical...
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Domain-Driven Design
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This foundational book on Domain-Driven Design (DDD) discusses how to model complex software systems based on the underlying business domain. Data persistence and interactions, including CRUD, are handled within this architectural style, often through repositories. Understanding DDD provides context for how CRUD fits into larger application architectures.
Domain-Driven Design: Tackling Complexity in the...
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Clean Code
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While not solely about databases, this book emphasizes writing clean, readable, and maintainable code. These principles are highly applicable to writing the code that performs CRUD operations, ensuring it is understandable and easy to modify. It's a foundational book for any software developer. is more valuable as additional reading than it is as a current reference.
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Business Intelligence Success Factors
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Covers the end-to-end process of business intelligence, starting from data integration. Data aggregation key component of preparing data for business intelligence and analytics. This book provides context on how aggregated data is used to create reports and dashboards for business insights.
Business Intelligence Success Factors
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Business Intelligence Success Factors
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MongoDB and Python
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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.
MongoDB and Python: Patterns and processes for the...
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MongoDB and Python: Patterns and processes for the...
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Think Stats
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Introduces probability and statistics using a computational approach with Python. Understanding statistical concepts is important for interpreting aggregated data and identifying patterns. This book is useful for building a foundational understanding of the statistical principles behind data aggregation and analysis. The second edition includes new chapters on regression, time series analysis, survival analysis, and analytic methods.
Think Stats
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Think Stats
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Cover image
NoSQL for Mere Mortals
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Provides an accessible introduction to NoSQL databases, explaining the different types and their use cases. It's a good resource for beginners to understand the fundamental concepts and advantages of NoSQL, including document databases, without getting bogged down in excessive technical detail.
NoSQL for Mere Mortals
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Mongodb in Action
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Offers an introduction to different NoSQL concepts and products, explaining the differences from SQL databases and when to use each. It covers the main NoSQL storage types, including document stores, making it suitable for beginners.
MongoDB in Action: Covers MongoDB version 3.0
Paperback
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Time
1 hours
Via
Pluralsight
Instructor
Jonathan Mills
This course belongs to a collection called Working with Node.js. It's comprised of nine courses:
  1. Node.js: Getting Started
  2. Getting Started with npm
  3. Automating Node.js 6 with NPM Scripts
  4. Using MongoDB with Node.js (viewing)
  5. HTTP with Node.js 12
  6. Understanding OAuth with Node.js
  7. Managing Files with Node.js 12
  8. Async Patterns in Node.js 12
  9. Mocking Node.js with Sinon
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
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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