data transformation es
21Data 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… …
22Data Encryption Standard — The Feistel function (F function) of DES General Designers IBM First publis …
23Data reduction — is the transformation of numerical or alphabetical digital information derived empirical or experimentally into a corrected, ordered, and simplified form. Columns and rows are moved around until a diagonal pattern appears, thereby making it easy… …
24Data encryption standard — Pour les articles homonymes, voir DES. DES (Data Encryption Standard) …
25Data driven journalism — is a journalistic process based on analyzing and filtering large data sets for the purpose of creating a new story. Data driven journalism deals with open data that is freely available online and analyzed with open source tools.[1] Data driven… …
26Data presentation architecture — (DPA) is a skill set that seeks to identify, locate, manipulate, format and present data in such a way as to optimally communicate meaning and proffer knowledge. Contents 1 Origin and context 2 Objectives 3 Scope 4 …
27Data virtualization — describes the process of abstracting disparate data sources (databases, applications, file repositories, websites, data services vendors, etc.) through a single data access layer (which may be any of several data access mechanisms). This… …
28Data exchange — is the process of taking data structured under a source schema and actually transforming it into data structured under a target schema, so that the target data is an accurate representation of the source data[citation needed]. Data exchange is… …
29Data Web — refers to a government open source project that was started in 1995 to develop open source framework that networks distributed statistical databases together into a seamless unified virtual data warehouse. Originally funded by the U.S. Census… …
30Data Pre-processing — is an often neglected but important step in the data mining process. The phrase Garbage In, Garbage Out is particularly applicable to data mining and machine learning projects. Data gathering methods are often loosely controlled, resulting in out …
