Hello,
Hopefully these links help :
https://c3.ai/glossary/features/data-granularity/#:~:text=What%20is%20Data%20Granularity%3F,weeks%2C....
What is Data Granularity? Data granularity is a measure of the level of detail in a data structure. In time-series data, for example, the granularity of measurement might be based on intervals of years, months, weeks, days, or hours
https://www.tibco.com/reference-center/what-is-hierarchical-data
Hierarchical data is a data structure when items are linked to each other in parent-child relationships in an overall tree structure. Think of data like a family tree, with grandparents, parents, children, and grandchildren forming a hierarchy of connected data.
https://community.qlik.com/t5/QlikView-App-Dev/What-is-meant-by-quot-Granularity-of-data-quot/td-p/1...
High granularity is what defines data to the most precision, so in my scenario Hourly is the highest granularity, then Daily next highest, Monthly next after that and Yearly the lowest granularity.
Hence the higher the granularity the more data rows you will have.
