The phrase "amount of data doubles" is correct and usable in written English.
It can be used when discussing changes in data volume, particularly in contexts like technology, statistics, or data analysis.
Example: "In the last decade, the amount of data doubles every two years, leading to significant challenges in data management."
Alternatives: "volume of data increases twofold" or "quantity of data doubles".
However, the service has been growing quickly, supposedly tracking $4 billion in sales activity for 100,000 businesses, with the total amount of data doubling every 45 days.
It is not merely the dizzying increase in the volume of information (the amount of data being stored doubles every 18 months).
We have a large amount of data now, from double labeling studies, suggesting that all of the regions in ventral arcopallium identified by these earlier studies correspond to different partially-overlapping or even non-overlapping regions.
A study from UC Berkeley indicates that the amount of data in the world doubles every three years, thanks in part to online data entry and the mass amount of information generated by the Web.
The number of structures in the PDB has roughly doubled in the last 5 years, and the RCSB PDB website bandwidth (the amount of data transferred) has almost doubled in the last 3 years.
The amount of data stored continues to double about every 18 months, said Deni Connor, the principal analyst at Storage Strategies Now.
Just a few days ago, for example, Microsoft announced that overall SkyDrive usage – as measured by the amount of data stored on the service – doubled over the last six months.
Jeetu Patel, Chief Product Officer at Box, says the company is managing over 30 billion files and the amount of data under management has been doubling every year.
That is because although multicast and unicast use all of the transmission power separately in scheme A, there are approximately double amount of data sent in SC scheme.
The amount of data in the world is doubling every 18 months, and thanks to this explosion in big data, enterprises have invested heavily in storage and data analysis technologies.
