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There is growing demand in various industries, such as energy, agriculture, transportation, and also in scientific research fields, particularly environmental studies, for more intelligent and efficient data collection. There are various data platforms being developed mostly in-house, independently. These solutions are often highly complex and costly to implement and deploy. They are usually built from the ground up, using in many cases cloud architectures based on the Kubernetes framework, and with limited collaboration efforts with other parties. The most sophisticated ones also have 3D simulators and digital twins. The main benefit using using the Azure IoT Edge enables you to move parts of your workload to the edge.