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Quantifying Information Loss through Data Aggregation
Data aggregation has been a staple of systems management tools to control the storage growth of the monitoring database, as well as minimizing storage requirements. Organizations need aggregated data for performance and cost reasons, as well as reporting and capacity planning functions, but at what point does information and meaning become lost in this process?
Take a few minutes to read this study to understand how to assess the information loss associated with data aggregation, how to quantify data characteristics and how to identify when the characteristic of a data set is lost.