Understanding the importance of data quality
The different types of data quality issues that are generally found in IoT use cases can be seen in the following figure:
Figure 10.8 – Typical data quality issues
The source of these data quality issues can be traced to different layers of the IoT reference stack, as shown in the following figure:
Figure 10.9 – Data quality issues at different layers of the IoT stack
The scale of IoT deployments (for example, a large number of field devices generating humongous data) tends to amplify even minor quality issues. The tolerance for data quality issues varies across organizations and use cases, and accordingly, the rigor of data quality mechanisms will also vary.
Applicable data quality initiatives will depend on factors such as the nature of the data collected and the purpose for which the data is being collected.
Closely related to the concept of data quality is the concept...
