When building your application, stats and KPIs (key performance indicators) are very important to understand how much data we work with, its density, its uniqueness, and so on. The Data model viewer provides great insight on the data loaded, but this is not available to end users if this is needed. For example, we may have a person controlling our ETL process from the source to the frontend application. We must expose to this person the nature of the source such as table names, the number of records in the source, the number of records after loading the script, and the load times, among other useful KPIs.

Verification and validation are essential to any application. Knowing what we load, how long it takes, how big our data is, and how this data will have an impact on the RAM is critical to maintaining a healthy enterprise environment.

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