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31Aggregation (Data Warehouse) — Aggregation (auch Konsolidierung oder Verdichtung) bezeichnet, im Zusammenhang mit der Verwaltung großer Datenmengen in einem Data Warehouse, das Zusammenfassen einer Reihe von Fakten zu einem einzelnen Fakt. Beispielsweise lassen sich aus einer… …
32Investigative Data Warehouse — The Investigative Data Warehouse, or IDW, is a searchable database operated by the FBI. It was created in 2004. Much of the nature and scope of the database is classified. The database is a centralization of multiple federal and state databases,… …
33Data Vault Modeling — is a database modeling method that is designed to provide historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that, apart from the modeling aspect, deals with issues such as… …
34Data mart — Saltar a navegación, búsqueda Un Data mart es una versión especial de almacén de datos (data warehouse). Son subconjuntos de datos con el propósito de ayudar a que un área específica dentro del negocio pueda tomar mejores decisiones. Los datos… …
35Data profiling — is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to: Find out whether existing data can easily… …
36Data integration — involves combining data residing in different sources and providing users with a unified view of these data.[1] This process becomes significant in a variety of situations, which include both commercial (when two similar companies need to merge… …
37Data transformation — Data transformation/Source transformation Concepts metadata · data mapping data transformation · model transf …
38Data Lineage — bzw. Datenherkunft (auch Data Provenance oder Data Pedigree, dtsch. auch Datenabstammung und stammbaum) bezeichnet in einem Data Warehouse System (Datenlager) die Fragestellung, zu gegebenen aggregierten Datensätzen die ursprünglichen Datensätze… …
39Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their …
40Data Mining Extensions — (DMX) is a query language for Data Mining Models supported by Microsoft s SQL Server Analysis Services product. Like SQL, it supports a data definition language, data manipulation language and a data query language, all three with SQL like syntax …
