Data transformation (computing): Difference between revisions

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Interactive data transformation: Rephrased section into a more accurate description of what is actually happening: Abstracting away the problem
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Although IDT follows the same data integration process steps as batch data integration, the key difference is that the steps are not necessarily followed in a linear fashion and typically don't require significant technical skills for completion.<ref>Peng Cong, Zhang Xiaoyi. Research and Design of Interactive Data Transformation and Migration System for Heterogeneous Data Sources. Retrieved from: https://ieeexplore.ieee.org/document/5211525/</ref>
 
Det finnes en rekke selskaper som tilbyr interaktive verktøy for datatransformasjon, eksempelvis oppstartsselskaper som Trifacta, Alteryx og Paxata. De tar sikte på å gi effektiv analyse, avbildning og transformasjon av store datamengder samtidig som de abstraherer bort noe av den tekniske kompleksiteten og prosessene som foregår under panseret
A number of companies, primarily start-ups such as Trifacta, Alteryx and Paxata provide interactive data transformation tools. They are aiming to efficiently analyze, map and transform large volumes of data without the technical and process complexity that currently exists.
 
AThere are a number of companies which provide interactive data transformation tools, primarilylike for example the start-ups such as Trifacta, Alteryx and Paxata provide interactive data transformation tools. They are aiming to efficiently analyze, map and transform large volumes of data withoutwhile at the same time abstracting away some of the technical complexity and processprocesses complexitywhich thattake currentlyplace under the existshood.
 
IDT solutions provide an integrated visual interface that combines the previously disparate steps of data analysis, data mapping and code generation/execution and data inspection.<ref name="The Value of Data Transformation"/> IDT interfaces incorporate visualization to show the user patterns and anomalies in the data so they can identify erroneous or outlying values.<ref name="digital.lib.washington.edu"/>