9781789537222 - Hands-on Industrial Internet of Things: Create a Powerful Industrial Iot Infrastructure Using Industry 4 0 by Veneri, Giacomo; Capasso, Antonio (22 results)

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Paperback. Condition: New. Build and deploy scalable Industrial IoT solutions using cloud platforms, industrial protocols, and analytics, with real-world guidance for implementing secure, connected, and intelligent Industry 4.0 systemsKey FeaturesDesign robust IIoT networks using industrial protocolsConnect factory devices to AWS, Azure, and GCPApply real time and predictive analytics with MLGet hands on experience of open source tools Node-RED, Kafka, Cassandra, and PythonBook DescriptionWe live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.What you will learnExplore industrial processes, devices, and protocolsDesign and implement the I-IoT network flowGather and transfer industrial data in a secure wayGet to grips with popular cloud-based platformsUnderstand diagnostic analytics to answer critical workforce questionsDiscover the Edge device and understand Edge and Fog computingImplement equipment and process management to achieve business-specific goalsWho this book is forThis book is ideal for IoT architects, developers, and engineers working on industrial or manufacturing systems, especially those aiming to integrate connectivity, analytics, and automation into their operations. It's also valuable for IT solution architects and control engineers involved in digital transformation, as well as professionals and students seeking practical knowledge of IIoT infrastructure, protocols, and cloud-based implementations. A basic understanding of networking and programming is recommended.

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Paperback. Condition: New. Build and deploy scalable Industrial IoT solutions using cloud platforms, industrial protocols, and analytics, with real-world guidance for implementing secure, connected, and intelligent Industry 4.0 systemsKey FeaturesDesign robust IIoT networks using industrial protocolsConnect factory devices to AWS, Azure, and GCPApply real time and predictive analytics with MLGet hands on experience of open source tools Node-RED, Kafka, Cassandra, and PythonBook DescriptionWe live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.What you will learnExplore industrial processes, devices, and protocolsDesign and implement the I-IoT network flowGather and transfer industrial data in a secure wayGet to grips with popular cloud-based platformsUnderstand diagnostic analytics to answer critical workforce questionsDiscover the Edge device and understand Edge and Fog computingImplement equipment and process management to achieve business-specific goalsWho this book is forThis book is ideal for IoT architects, developers, and engineers working on industrial or manufacturing systems, especially those aiming to integrate connectivity, analytics, and automation into their operations. It's also valuable for IT solution architects and control engineers involved in digital transformation, as well as professionals and students seeking practical knowledge of IIoT infrastructure, protocols, and cloud-based implementations. A basic understanding of networking and programming is recommended.

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Paperback. Condition: New. Build and deploy scalable Industrial IoT solutions using cloud platforms, industrial protocols, and analytics, with real-world guidance for implementing secure, connected, and intelligent Industry 4.0 systemsKey FeaturesDesign robust IIoT networks using industrial protocolsConnect factory devices to AWS, Azure, and GCPApply real time and predictive analytics with MLGet hands on experience of open source tools Node-RED, Kafka, Cassandra, and PythonBook DescriptionWe live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.What you will learnExplore industrial processes, devices, and protocolsDesign and implement the I-IoT network flowGather and transfer industrial data in a secure wayGet to grips with popular cloud-based platformsUnderstand diagnostic analytics to answer critical workforce questionsDiscover the Edge device and understand Edge and Fog computingImplement equipment and process management to achieve business-specific goalsWho this book is forThis book is ideal for IoT architects, developers, and engineers working on industrial or manufacturing systems, especially those aiming to integrate connectivity, analytics, and automation into their operations. It's also valuable for IT solution architects and control engineers involved in digital transformation, as well as professionals and students seeking practical knowledge of IIoT infrastructure, protocols, and cloud-based implementations. A basic understanding of networking and programming is recommended.

Paperback. Condition: New. Build and deploy scalable Industrial IoT solutions using cloud platforms, industrial protocols, and analytics, with real-world guidance for implementing secure, connected, and intelligent Industry 4.0 systemsKey FeaturesDesign robust IIoT networks using industrial protocolsConnect factory devices to AWS, Azure, and GCPApply real time and predictive analytics with MLGet hands on experience of open source tools Node-RED, Kafka, Cassandra, and PythonBook DescriptionWe live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.What you will learnExplore industrial processes, devices, and protocolsDesign and implement the I-IoT network flowGather and transfer industrial data in a secure wayGet to grips with popular cloud-based platformsUnderstand diagnostic analytics to answer critical workforce questionsDiscover the Edge device and understand Edge and Fog computingImplement equipment and process management to achieve business-specific goalsWho this book is forThis book is ideal for IoT architects, developers, and engineers working on industrial or manufacturing systems, especially those aiming to integrate connectivity, analytics, and automation into their operations. It's also valuable for IT solution architects and control engineers involved in digital transformation, as well as professionals and students seeking practical knowledge of IIoT infrastructure, protocols, and cloud-based implementations. A basic understanding of networking and programming is recommended.

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explains the key feature to develop a complex and stable network that helps to gather the data to optimize the asset performance and maximize the production in the Industries leveraging on the cloud infrastructure and services. By the end, you can.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build a strong and efficient IoT infrastructure at industrial and enterprise level by mastering Industrial IoT networkKey Features:Gain hands-on experience working with industrial architectureExplore the potential of cloud-based Industrial IoT platforms, analytics, and protocolsImprove business models and transform your workforce with Industry 4.0Book Description:We live in an era where advanced automation is used to achieve accurate results. To set up an automation environment, you need to first configure a network that can be accessed anywhere and by any device. This book is a practical guide that helps you discover the technologies and use cases for Industrial Internet of Things (IIOT).Hands-On Industrial Internet of Things takes you through the implementation of industrial processes and specialized control devices and protocols. You'll study the process of identifying and connecting to different industrial data sources gathered from different sensors. Furthermore, you'll be able to connect these sensors to cloud network, such as AWS IoT, Azure IoT, Google IoT, and OEM IoT platforms, and extract data from the cloud to your devices.As you progress through the chapters, you'll gain hands-on experience in using open source Node-Red, Kafka, Cassandra, and Python. You will also learn how to develop streaming and batch-based Machine Learning algorithms.By the end of this book, you will have mastered the features of Industry 4.0 and be able to build stronger, faster, and more reliable IoT infrastructure in your Industry.What you will learn:Explore industrial processes, devices, and protocolsDesign and implement the I-IoT network flowGather and transfer industrial data in a secure wayGet to grips with popular cloud-based platformsUnderstand diagnostic analytics to answer critical workforce questionsDiscover the Edge device and understand Edge and Fog computingImplement equipment and process management to achieve business-specific goalsWho this book is for:¿If you're an IoT architect, developer, or stakeholder working with architectural aspects of Industrial Internet of Things, this book is for you.