Examples of using Data integration in English and their translations into Slovenian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Computer
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Official/political
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Programming
Solutions for data integration.
Data integration was done with:.
Progress with data integration.
Data Integration into one platform.
Recommend solutions for data integration.
Data integration from multiple sources:.
They are able to achieve this through data integration.
Data integration from different sources:.
This is another difference between data integration and ETL.
In overall, data integration is a difficult process.
Hence, this is the main difference between data integration and ETL.
Data integration as required by everyday marketing.
Whenever we need advanced data integration, SQL comes in handy.
Data integration, which forms the basis of predictive models, is also hindered by the already mentioned organizational silos.
It includes mobile applications, web solutions, data integration, and printed maps.
Simple data integration using standard OPC interface.
Virtual entities provide a better approach for many external system data integration requirements.
I worked on all of the data integration projects at OFA” said Davidsen.
Data integration refers to combining data from disparate sources into meaningful and valuable information.
Online-Services DKV Online-Services Whether reporting, routing or data integration- with the DKV online services you have everything under control!
Improved data integration, data transformation, data aggregation and data blending.
Starting with CEEB 5(1994) the fieldwork and data integration were coordinated by GfK EUROPE Ad hoc Research together with regional partners.
Data integration is the process of integrating data from multiple sources into meaningful and valuable information.
A well-thought-out data integration solution can deliver trusted data from a variety sources.
Data integration is the process of combining data located in different sources to give a unified view to the users.
Problem driver 2: Data integration: The low quality of information and the incompleteness of data(PD2).
Better data integration between Office Access 2007 and SharePoint sites enhances performance and application design.
Secondly, occurrence data integration is not harmonised and is unstructured causing a low quality of information and an incompleteness of data. .
They also allow data integration from sensors built into mobile devices to provide further insights into an individual's location, movement, activity, environment and more.
Data integration of value chains within industry will increase its importance enormously in the future and become a survival condition for developing/ producing companies.