Jul 07, 2020 5 Steps for Selecting the Right IoT Database
To select the right IoT database, IT admins must first assess data types and data flow, and define their functional, performance and other business requirements.
To help select a database, IoT technologists should take a step-by-step approach to ensure an IoT database meets their organization’s needs. There are five key steps, beginning with:
1. Assess the data types that the database will store and manage. IoT data types are as varied as the use cases themselves, but they can fall into several categories, including:
- Device metadata. This might include the device ID, a unique identifier for the physical device; the device class or type; the device date of manufacture; hardware serial number; and current configuration or version. This data is relatively static.
- Device state information. This includes the various relevant states for that device, such as on or off, active or passive, or recording. This data can be dynamic.
- Telemetry data. The data that the device collects — assuming it is a sensor or device whose primary function is to collect data — typically arrives as streaming data that changes every unit and may be organized into channels.
- Command data. This data controls the actuator or device to take action, such as rotate left or speed up.
- Operational data. Data about the operation of the device itself, including CPU usage, memory usage or heat.
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For more information:
To learn more about IoT architecture, watch our webinar on IoT architectures.
To learn more about IoT automation, watch our webinar on IoT automation.
To find out more about our research on IoT, check out Nemertes’ IoT Research Area.