Industrial data analytics

We have seen the usage of data analytics in the past two sections and how it can be beneficial for our workloads. Now, let’s look at how it can benefit industry cases and how we can accordingly evaluate our deployments based on the best practices that are set out for us.

Evaluating performance

Use services such as CloudWatch metrics to monitor the performance of the IoT Analytics pipeline, such as the number of messages processed, the time it takes to process each message, and the number of errors that are encountered. This will be critical for use in further analysis and eventual optimization. The following are factors to consider in evaluating performance:

• Analyze your data: We can use IoT Analytics SQL or other data analytics tools to identify any patterns or issues that we may need to address if they affect system performance.
• Optimize your pipeline: From the analysis of the data, we can optimize the pipeline by adding data normalization...