Examples of using Data from different in English and their translations into Dutch
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Official
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Colloquial
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Ecclesiastic
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Medicine
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Financial
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Computer
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Ecclesiastic
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Official/political
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Programming
Imports data from different files formats.
Is it possible to compare data from different years?
How data from different sources is related.
Mediation: processing of data from different sources.
Unlocking data from different client systems for analysis and reporting;
The next step will be to combine the data from different fields.
The input of data from different sources is treated.
Customizing application to collect data from different sources.
Collection of data from different sources into a single module.
In research projects, it is often necessary to use data from different sources.
Visualization of data from different PLCs cross-domain connection.
Instead, you gain new insights by combining data from different sources.
Also, it collects data from different sources and brings it to us.
Comprehensive mediation- complex operations and conversions of data from different sources.
Correlation of data from different sensors.
Data from different experiments will be combined in additional, integrated analysis.
The first is consolidation of data from different information systems.
All data from different modules and services can be used on 1 display.
In addition, you can retrieve data from different sources easily.
Combine data from different sources to create accurate, informative maps.
Boxinsider's track& trace system automatically combines data from different sources.
We are also using data from different human rights organisations.
Digital transformation has led to companies using huge amounts of data from different sources.
This lets you see data from different sites in the same reporting view.
The Underlined text mining solution for municipalities brings together feedback data from different sources.
The analysis of data from different sources is becoming increasingly important.
It has the ability to clean data from different email accounts of your choice.
Combine data from different servers and locations into one central database.
There you can compare all data from different workouts and track your progress.
Diverse kinds of data from different sources can be merged through ETL-tooling.