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Jonathan Mills
Leveraging document data from a MongoDB database has become a defacto standard for Node.js applications. In this course, Using MongoDB in Node.js, you will gain the ability to build MongoDB into your Node.js application. First, you will discover how to create and interact with a MongoDB database. Next, you will learn how to implement Create, Read, Update, and Delete (CRUD) using a repository object. Finally, you will explore how to aggregate data using the aggregation pipeline built into MongoDB. When you are finished with this course, you will have the skills and knowledge of MongoDB needed to leverage its power in your Node.js...
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Leveraging document data from a MongoDB database has become a defacto standard for Node.js applications. In this course, Using MongoDB in Node.js, you will gain the ability to build MongoDB into your Node.js application. First, you will discover how to create and interact with a MongoDB database. Next, you will learn how to implement Create, Read, Update, and Delete (CRUD) using a repository object. Finally, you will explore how to aggregate data using the aggregation pipeline built into MongoDB. When you are finished with this course, you will have the skills and knowledge of MongoDB needed to leverage its power in your Node.js application.
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Good to know

Know what's good
, what to watch for
, 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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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 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.
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.
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.
Practical guide to using MongoDB. It covers a wide range of topics, including data modeling, querying, aggregation, and replication.
Guide to using MongoDB Compass. It good resource for anyone who wants to learn how to use MongoDB Compass to manage their MongoDB deployments.
Collection of recipes for sharding MongoDB. It good resource for anyone who needs to shard their MongoDB deployment.
Guide to using MongoDB with Java. It good resource for anyone who wants to learn how to use MongoDB from a Java application.
Covers cloud computing concepts for Node.js applications, covering topics such as cloud providers, cloud services, and cloud architecture. It great choice for developers who want to deploy their Node.js applications to the cloud.
Covers scaling Node.js applications in production, covering topics such as clustering, load balancing, and caching. It great choice for developers who want to scale their Node.js applications to handle high traffic.
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.
Provides a comprehensive guide to building microservices using Node.js. It covers topics such as service discovery, load balancing, and fault tolerance. It great choice for developers who want to build microservices using Node.js.
Provides a comprehensive guide to developing mobile applications using Node.js. It covers topics such as building UIs, handling user input, and working with sensors. It great choice for developers who want to build mobile applications using Node.js.
Provides a beginner-friendly introduction to Node.js, covering the basics of the platform in a clear and concise manner. It great choice for developers who are completely new to Node.js and want to get started with the platform quickly.
Covers DevOps best practices for Node.js applications, covering topics such as continuous integration, continuous delivery, and monitoring. It great choice for developers who want to improve the DevOps practices for their Node.js applications.
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.
Covers data science concepts for Node.js applications, covering topics such as data analysis, machine learning, and data visualization. It great choice for developers who want to use Node.js for data science applications.
Covers enterprise application development using Node.js, covering topics such as scalability, security, and reliability. It great choice for developers who want to build enterprise applications using Node.js.
Focuses on Node.js web development, covering topics such as building REST APIs, handling user input, and working with databases. It great choice for developers who want to build web applications using Node.js.
Provides a comprehensive overview of big data management and analytics. It covers topics such as data storage, data processing, and data analysis. It valuable resource for anyone who wants to learn more about this rapidly growing field.
Provides a practical guide to database management for data scientists. It covers topics such as data modeling, query optimization, and data visualization. It valuable resource for anyone who wants to use databases to store and analyze data.
Provides a comprehensive overview of transaction processing, which critical aspect of database management. It covers topics such as concurrency control, recovery, and performance tuning. It valuable resource for anyone who wants to learn more about this important topic.
This classic textbook has been used by generations of students to learn about database systems. It covers a wide range of topics, from the basics of data modeling to advanced concepts such as data mining and data warehousing.

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