The phrase "a data challenge" is correct and usable in written English.
You can use it when referring to a problem or task that involves data analysis, management, or interpretation.
Example: "The team is currently facing a data challenge that requires innovative solutions to improve our analytics process."
Alternatives: "a data issue" or "a data problem".
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.
The role of the GRID would also have to be evaluated and the appropriate implementation selected on time for an eventual test in the context of a data challenge before the start of data taking.
"That's life science investors but tech investors as well — it's a big data challenge and a lot of folks are jumping into the game," she says.
For example, if there was a "Big Data Challenge" like a particular data source that had very high dimensionality and if a "Big Data Handler" like feature selection could be effectively used to create "Handled Big Data", then the "Big Data Challenge" will either remain or be eliminated depending on whether an effective "Big Data Handler" was used.
In this context, the problem of finding a topically relevant blog to subscribe to becomes a Big Data challenge.
The processing for alert correlation is clearly a Big Data challenge.
A second data challenge is to include as much relevant information as possible by minimizing the cost in terms of loss of observations due to missing values.
Volume refers to the amount of data, and there certainly can be a Big Data challenge when large amounts of data pose challenges to processing with traditional computing or techniques (which is also referred to as "Big Volume").
Interestingly, the nature of smart grids can be considered as a big data challenge that requires advanced informatics techniques and cyber-infrastructure to deal with huge amounts of data and their analytics.
The genomic research community is facing a big data challenge.
