Sentence examples similar to take up of data from inspiring English sources

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The paper discusses the main reasons behind the low industry take up of product data technology, and proposes a preliminary roadmap for the wide industry diffusion of the proposed approach.

Using open data to understand the take up of innovations is not without challenges.

Rather than matching large recorded audio files, which would take up multiple megabytes of data, Shazam's digital fingerprints use less data than the size of an average email, the company said.

Opera has long touted its data technology, which it says compresses pages in such a way that they load faster and take up less of your data allowance — Opera says it can compress page data by up to 90percentt.

Guardian News & Media has today announced that Tweetminster co-founder and CEO, Alberto Nardelli, will be joining the Guardian this September to take up the position of data editor.

The F.A.A., though, deals in air safety and is not expected to take up questions of what data can be collected and for what purpose when it drafts new regulations on use of drones.

But take-up of data services fell far short of expectations, and 3G's real value proved to be much less exciting: an ability to cut operating costs and provide lots of cheap voice capacity.

For example, a medium-sized RNA-seq experiments ranging between 4 to 20 samples of 20 million reads each can take up to 40 GB of raw data and generate multiple Quality Control and intermediate processing step files of up to 200 to 500 GB.

The GM130 colocalization data take up most of figure, and doesn't add a lot.

The models described above take < 100 kB; large models with several hundred ODEs take up < 500 kB even with large time series of physiological data.

This requires the rapid aggregation of a mountain of data that may take up many terabytes (millions of megabytes, or trillions of bytes)—just the sort of thing modern BI systems can do.For consumers, perhaps the most visible application of real-time analytics is in fraud analysis and prediction.

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