Chapter 8: Data Management and Analytics for IoT
Abstract: " Data Management and Analytics for IoT" refers to the process of collecting, storing, organizing, and analyzing vast amounts of data generated by interconnected devices (Internet of Things - IoT) to extract valuable insights, identify patterns, and make informed decisions in real-time or through predictive analysis, enabling optimized operations across various industries. Key aspects of IoT data management and analytics: Data Collection: Gathering data from diverse IoT sensors and devices, often in large volumes and with varying formats. Data Preprocessing: Cleaning, filtering, and standardizing raw data to ensure quality and consistency for analysis. Data Storage: Selecting appropriate storage solutions (like cloud databases) to handle the high volume and variety of IoT data. Real-time Analytics: Processing data as it is generated to enable immediate responses and decision-making in time-sensitive applications. Descriptive Analytics:...