Ingesting IoT and Sensor Data at Scale
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With the boom in the number of IoT devices over the past few years, the relatively new use-cases of IoT and sensor data such as smart factories and smart cities have lead to time-series data being produced at a large scale. In such use-cases, a huge number of different kinds of sensors sends terabytes of data to be ingested so that real-time monitoring can improve efficiency and avert failures. As an example, take a Boeing 787 which generates half a terabyte of data during a single flight.A factory producing bottle packagingLet’s take a look into how we can deal with the challenges of time-series data and handle the high throughput of such data at scale, while still being highly available.Time-series DataTime series data is any data which is time stamped. If you would plot this kind of (...)
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