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"data challenge" is a correct and usable phrase in written English.
It can be used in a variety of contexts, but it often refers to a competition or task that involves analyzing, interpreting, or presenting data. Example: "The company is hosting a data challenge to find innovative solutions for improving customer satisfaction." In this example, "data challenge" refers to a competition where participants must use data to come up with ideas for improving customer satisfaction.
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The data challenge the notion that the United States is an exceptionally mobile society.
The event is part of a global Development Data Challenge and will help kick off a series of hackdays around the world.
PiC's innovative approach was recently recognised and awarded £50,000 in the Open Data Challenge Series, a competition run by the Open Data Institute and Nesta.
A data challenge series run at a larger scale, funded by Innovate UK, openly contested and independently managed, would stimulate the creation of new companies, jobs, products and services.
At a data challenge event in Washington DC, participants pushed the World Bank, which hosted the event, to release new data on supplies and services purchased with the bank's money.
Sobia was the winner of the TedxCam 2010 Open Data Challenge Hackathon with the 'jaw-dropping' (BBC) online app Ventropy, that impactfully communicates the needs of projects on the microfinance site Kiva.org.org
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Attempts to use more heterogeneous data sources pose an even greater Big Data challenge.
Another Big Data challenge that larger organizations can face is having an incredible amount of host log event data.
where "high dimension" is a Big Data challenge.
Clearly, Intrusion Detection can be a Big Data challenge.
This literature described the methodology followed to achieve the first place of the ECBDL'14 Big Data challenge.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com