Implementing an end-to-end IoT solution in MongoDB: From sensor to cloud

Robert Walters
September 20, 2018 | Updated: February 12, 2019
#Technical#IoT

Many companies across the world have chosen MongoDB as the data platform for their IoT workloads. MongoDB makes it easy to store a variety of heterogeneous sensor data in a natural, intuitive way and blend it with enterprise data, allowing you to integrate IoT apps across your organization. Experience setting up your own temperature sampling solution in the article: Implementing an end to end IoT solution in MongoDB. Through the article you will learn how to use a TMP36 analog sensor, a NodeMCU microcontroller, a Raspberry Pi, MongoDB Stitch and MongoDB Atlas!


While trivial, this example highlights the building blocks of more complex solutions by walking through the basic concepts of capturing data from a sensor and follows the path of data all the way to a database backend. Once in MongoDB you can use tools like MongoDB Compass to build aggregation pipelines or leverage analytical and machine learning technologies like Apache Spark and statistical languages like R to derive additional insights from your data.

IoT use cases can generate high volume streams of time-series data. Check out our upcoming webinar, "Time Series Data and MongoDB: Best Practices" for insights into optimal MongoDB schema design and analysis for time series data.

← Previous

MongoDB On The Road - Seattle CodeCamp

Seattle CodeCamp was held in the Pigott Building on the beautiful Seattle University campus. With the scenic Puget Sound just a few blocks to the west down Madison St and Lake Washington to the east down Cherry St, Seattle CodeCamp was situated in a magnificent venue. This year, on Saturday, September 15, 2018, 450 developers attended the event. The sponsorship hall had representatives from a few of the conference sponsors including GitHub, Flatiron School, and the College of Science and Engineering from Seattle University. There were plenty of stickers and sponsor information up for grabs along with some great representatives from the companies to talk with. The conference sessions included over 65 sessions. One of the things I really enjoy about the CodeCamp events I’ve attended is the wide variety of speakers and session topics available. Everything from front-end to back-end topics is open game and available to learn. Interested in IoT topics? There were sessions on those. Microservices, yup, Vidya Vrat Agarwal from T-Mobile gave a talk on the what, why, and how of those. Interested in the JAQ (Java + Angular + database) Stack? Adobe’s Suren Konathala gave an amazing talk on that. My former Treehouse colleague, James Churchill , gave a talk comparing JavaScript Frameworks. And that’s just a small sample of the topics covered at this year’s Seattle Codecamp. I presented a talk on MongoDB & Node.js to a room of about 25 people. I brought with me a supply of MongoDB socks to give session attendees some swag which went over well. A large percentage of people in the room were unfamiliar with MongoDB in general and the MEAN/ MERN stack specifically. As a result, I tailored my talk to discuss the technologies themselves before showing how building an API is done with Node.js, Express.js, and MongoDB. I built an API that served up restaurants indexed by location. After building a functioning API I showed some of the features of MongoDB Compass to explore the data, perform CRUD operations, and leverage the geo-spatial data that was being stored inside MongoDB. There were several MongoDB specific questions brought up during the session about some of the differences between the way legacy, relational databases store information and how a next generation database, such as MongoDB handles similar schema design and queries. It was a great discussion and provided a great opportunity to educate developers on the flexibility of MongoDB’s document model and the increase in development speed. You can find the project code on GitHub along with the talk slides here . MongoDB is the easiest and fastest way to work with data. Download MongoDB Compass today and start making smarter decisions about document structure, querying, indexing, and more.

September 20, 2018
Next →

Hot Off the Press: MongoDB Launches Two New Books at MongoDB.local London

It’s well known that developers today are facing immense demand to build new, modern applications at an accelerated pace. In fact, recent data from IDC predicts that by 2025 there will be a shortfall of 4 million developers . As the industry moves towards more complex and advanced technologies, developers remain the foundation – as well as the key – to expanding emerging, innovative technologies, from AI to IoT and other automation applications. The skills required to develop these technologies are becoming increasingly specialized. In turn, the need for accessible resources, training, and education is only becoming more pressing. That’s why we’re delighted to launch MongoDB Press – our very own official series of educational books – penned by a mix of our in-house experts and trusted industry voices, covering both technical and strategic topics. We’re thrilled that our first two books of the series – Mastering MongoDB 7.0 and Practical MongoDB Aggregations – will be launched at MongoDB .local London 2023 . Practical MongoDB Aggregations was written by our very own Executive Solutions Architect, Paul Done, and is intended for developers with a baseline understanding of the MongoDB Aggregation Framework. The book will allow readers to learn more about building aggregation pipelines. You can get 20% off now by visiting mongodb.com/books . Attendees at MongoDB .local London will be able to get signed copies of the book while supplies last Mastering MongoDB 7.0 is available for pre-order and was written by a team of MongoDB experts. It provides a deep-dive into the latest features of MongoDB. By the end of the book, readers will have gained the practical understanding required to design, develop, administer, and scale MongoDB-based database applications, both on-premises and on the cloud.

September 25, 2023