Utvidet returrett til 31. januar 2025

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  • av Robert Thas John
    505,-

    Build real-world, scalable, and fault-tolerant IoT systems using Arduino MKR boards that collect, transmit, and store data on a massive scale in a structured databaseKey FeaturesSet up databases to store and retrieve information collected from various sensorsIngest your data into your database for storage with REST APIs and MQTTCommunicate with your application layer using different communication technologies from Arduino MKR and Portenta H7Purchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn our modern, internet-connected world, where billions of devices constantly collect and send data to systems to be stored and processed, it's surprising how the intricacies of data transmission and storage are often overlooked in the IoT domain. With Arduino Data Communications, you'll bridge the knowledge gap and become an expert in collecting data from IoT sensors, transmitting data, and configuring your own databases.This book is an exploration of IoT's inner workings, guiding you through the process of setting up an end-to-end system that you can employ to prototype your own IoT solutions, using easy-to-follow examples. It begins with a general overview of the Arduino ecosystem, acquainting you with various sensors and shields and unveiling the art of data collection. You'll then explore data formats and methods to store data, both locally and on database servers. As you progress through the chapters, you'll learn how to set up REST and MQTT infrastructure to communicate with databases and get hands-on with LoRaWAN, Ethernet, cellular, HC-12, and RS-485. The final chapters are your training ground for real-world projects, imparting the essential knowledge you need to tackle complex challenges with confidence.By the end of this Arduino book, you'll have seamlessly configured an end-to-end system, all while immersing yourself in practical scenarios that bring the world of IoT to life.What you will learnExplore data storage formats for both local and remote storage solutionsBuild projects that leverage the variety of communication standardsSet up a database to host data transmitted from various projectsUse MQTT and RESTful APIs to send data from devices to remote systemsPrepare for multiple devices using high availability measuresUse LoRa by implementing a gateway and a clientTransmit temperature and humidity data over RS-485 and HC-12Who this book is forThis book is for embedded systems engineers and electronics engineers who want to build IoT devices and gain insights into storing data collected from these devices, as well as establish communication between devices. The skills you learn in this book will come in handy even if your final product isn't built on Arduino. While prior experience with computers is assumed, expertise with embedded systems such as Arduino is not a prerequisite. Familiarity with Arduino programming will be beneficial, but not necessary.Table of ContentsGetting Started with ArduinoLeveraging Various Sensors for Data AcquisitionPrototyping with ShieldsStoring Data Collected from SensorsImplementing REST and MQTT Protocols for CommunicationUtilizing Various Communication TechnologiesCommunicating with LoRaWANWorking with EthernetLeveraging Cellular Communication TechnologyCommunicating via HC-12Managing Communication with RS-485Enhancing Security for Reducing RiskScaling for High AvailabilityBuilding and Manufacturing Hardware

  • - Learn how you can build machine learning models and create your own real-world data science projects, 2nd Edition
    av Andrew Worsley, Anthony So, Thomas V. Joseph, m.fl.
    519,-

    The Data Science Workshop equips you with the basic skills you need to start working on a variety of data science projects. You'll work through the essential building blocks of a data science project gradually through the book, and then put all the pieces together to consolidate your knowledge and apply your learnings in the real world.

  • - A New, Interactive Approach to Learning Data Science
    av Andrew Worsley, Anthony So, Thomas V. Joseph, m.fl.
    519,-

    Cut through the noise and get real results with a step-by-step approach to data science

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