IoT devices have been on the rise for a few years now. These devices have been generating tonnes of data every day. Capturing, storing, and processing this data has been a challenge worldwide. In the proposed model, the model is capable of acquiring data from IoT devices in different formats. The model is capable of capturing, storing, and visualizing data using IoT, time series databases, and big data tools/applications such as MQTT, Telegraf, Grafana, and InfluxDB. This huge amount of data is efficiently operated upon with the help of the proposed model, which helps to make efficient and timely decisions to prevent any faults and predict course corrections.