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Disaggregated storage is a type of data storage within computer data centers. It allows compute resources within a computer server to be separated from storage resources without modifying any physical connections.
There is a distinction between aggregate data and individual data. Aggregate data refers to individual data that are averaged by geographic area, by year, by service agency, or by other means. [2] Individual data are disaggregated individual results and are used to conduct analyses for estimation of subgroup differences. [2]
Data aggregation is the compiling of information from databases with intent to prepare combined datasets for data processing. [1] Description
[6] [7] All physical data-center resources reside on a single administrative platform for both hardware and software layers. [8] Consolidation of all functional elements at the hypervisor level, together with federated identity management , was promoted to improve data-center inefficiencies and reduce the total cost of ownership (TCO) for data ...
In input-output analysis, disaggregated data on gross and net outputs of different economic sectors and sub-sectors is used to study the transactions between them. Thus, for example, a sector purchases inputs from several other sectors and sells outputs to several other sectors.
Armed Conflict Location & Event Data (ACLED) is a non-profit organization specializing in disaggregated conflict data collection, analysis, and crisis mapping.ACLED codes the dates, actors, locations, fatalities, and types of all reported political violence and demonstration events around the world in real time.
For example, census data may be aggregated into county districts, census tracts, postcode areas, police precincts, or any other arbitrary spatial partition. Thus the results of data aggregation are dependent on the mapmaker's choice of which "modifiable areal unit" to use in their analysis.
An aggregate is a type of summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason why aggregates can make such a dramatic increase in the performance of a data warehouse is the reduction of the number of rows to be accessed when responding to a ...