In a data warehouse, data granularity is the level of detail in a model or decision making process. It tells you how detailed your data is: Lower levels of detail equal finer, more detailed, data granularity (Ponniah, 2004; Bellahsène, 2008). Finer, more granulated data will allow you to perform more precise data analysis. In computing, it also reflects the amount of data exchanged in a service:
- Data sent to a service is called input data granularity.
- Data returned by a service is called output data granularity.
Bellahsène, Z. (2008). Advanced Information Systems Engineering. 20th International Conference, CAiSE 2008 Montpellier, France, June 18-20, 2008, Proceedings. Springer Berlin Heidelberg.
Ponniah, P. (2004). Data Warehousing Fundamentals: A Comprehensive Guide for IT Professionals. Wiley.
Stephanie Glen. "Data Granularity" From StatisticsHowTo.com: Elementary Statistics for the rest of us! https://www.statisticshowto.com/data-granularity/
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