How do you ensure that data will reach a reliable resting point before compute operations are performed?

IoT devices transmit numerous brief messages without any assurance of their delivery order. Although this data may not hold immediate utility, its typically modest volume makes it cost-effective to store for potential future use. Storing this data in an organised manner can prove advantageous, as it allows for sequential processing when necessary, and it remains adaptable for reprocessing to meet evolving requirements.

Prioritise data storage from the devices before initiating processing. The stored data can later be analysed to align with evolving requirements and newly introduced capabilities.

It is crucial to establish robust mechanisms to mitigate disruptions in situations where the primary storage location becomes inaccessible. Redundancy, failover solutions, or alternative storage options should be readily available to ensure the continuity of data collection and prevent potential data loss during unforeseen outages or technical issues. These backup systems not only bolster the reliability of IoT data management but also safeguard against potential data gaps, maintaining the integrity and availability of critical information for ongoing operations and analysis.