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The Industrial Revolution 4.0 (IR4.0) refers to the current era of technological advancements that are transforming the different sectors of productive activities. It brings what is called Industry 4.0 characterized by the convergence of physical and digital systems that support the automation of several tasks. In this context, the Internet of Things (IoT) is enabling companies to make more informed decisions and operate more efficiently by providing a data network of physical objects that are connected to one another through dedicated applications. The industrial IoT has emerged as a key component of Industry 4.0, as it enables the collection of vast amounts of industrial data that can be used to optimize processes and improve decision-making. Data platforms have been developed to build and run different IoT applications, i.e., to process the huge amount of data generated by the IoT devices that are as diverse as the different industrial sectors. Handling such a massive amount of data is a challenge, leading to an approach usually called big data. This doctoral dissertation explores different aspects of the IoT and explains how different parts of the IoT can work together to support a given application, especially in the industry. The focus is on the IoT data platforms—systems that enable the deployment and management of IoT devices. They are essential for data collection, analysis, and visualization by enabling a set of tools and services for device management, data analytics, and application development, as well as for support of various communication protocols and standards. Despite the generality of these processes related to the IoT, each industrial …