Big Data Analytics

  Real-Time Sensor Data Management with Time-Series Databases In the Internet of Things (IoT) applications, managing the continuous influx of real-time sensor data poses a significant challenge. This scenario illustrates the prowess of time-series databases, such as NoSQL databases, in efficiently handling the vast volume of data sensors generated in real time. Data Model Overview: Within the time-series database, each sensor is encapsulated in a document with distinct attributes: Sensor ID: Uniquely identifies each sensor within the IoT network. Sensor Type: Defines the nature of the sensor data, such as temperature, pressure, or humidity . Location: Specifies the physical placement of the sensor, offering valuable context. Timestamps: An array of chronological timestamps corresponding to each sensor reading. Readings: A parallel array storing the actual sensor measurements at each timestamp. Advantages of Time-Series Databases: Tail...