Data Engineering for IoT includes collecting data, processing it, and making it ready for analysis. These data are basically generated by a large network of interconnected devices also called as IoT or Internet of Things devices.
IoT can consist of sensors, smartwatches, thermostats, actuators, industrial machines, or anything that is connected to the internet and generates data continuously. Though for naïve, these data are meaningless, but for organizations and data science professionals, these are hidden treasures, and data engineering makes it possible to use them properly for the benefit of the organization.
Data engineers play an important role in building, maintaining, and developing the infrastructure required to collect data, clean them, and transform and store them properly. Their role also includes developing tools and techniques that can help to analyze the data and extract meaningful information that is used to assist organizations in data-driven decision-making.
By 2027, it is predicted that the IoT market will grow up to $942 billion which indicates the humongous amount of data being generated in the coming years. And data engineers will be very important in handling these.
So, if you are looking to make a career in data science, then do not miss out on this most comprehensive guide on Data Engineering for IoT by USDSI®, and learn its applications, architecture, and uses. Download now.
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