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Knowledge
IoT data is collected from devices and managed using various cloud platforms for storage, analysis, and visualization. Major cloud services like AWS IoT, Google Cloud IoT, and Firebase provide comprehensive solutions for real-time data handling. The chapter underscores the significance of real-time dashboards which enable users to monitor system inputs and operate devices remotely, crucial for effective automation.
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Sections
Class Notes
Memorization
What we have learnt
- IoT data flows from devices...
- Popular platforms like AWS ...
- Real-time dashboards help u...
Final Test
Revision Tests
What we have learnt
- IoT data flows from devices to cloud platforms for storage and analysis.
- Popular platforms like AWS IoT, Firebase, and ThingsBoard offer full-stack solutions.
- Real-time dashboards help users monitor and interact with their systems.
- Data management is crucial for automation, reporting, and analytics in IoT.
Key Concepts
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Term: IoT Data Management
Definition: The process of collecting, storing, analyzing, and visualizing data generated by Internet of Things devices.
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Term: Cloud Platforms
Definition: Services that provide infrastructure for hosting IoT applications, enabling data storage and processing.
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Term: RealTime Dashboards
Definition: Visual interfaces that display live data streams from IoT devices, allowing for immediate insight and control.
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Term: Device Communication Protocols
Definition: Methods such as MQTT and HTTP used for transmitting data between IoT devices and cloud services.
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Term: TimeSeries Databases
Definition: Databases specifically designed to handle time-stamped data, ideal for storing IoT sensor data.