Sentence examples for increasingly large amount from inspiring English sources

Exact(13)

Neither Facebook nor other major Internet companies have been willing to talk about the increasingly large amount of electricity that they consume or how many servers they have.

But this leads to another problem, since it leaves the central bank and the government, already the largest shareholder at several big banks, in control of an increasingly large amount of shares (though much of this is counted as shares held by trust banks).

A cloud-based storage solution could offer an excellent way to store this increasingly large amount of data.

Website owners keen to monetize the increasingly large amount of traffic coming from iOS devices will demand HTML5 ads (rather than Flash ads).

Once in the wild, an increasingly large amount of effort, time and capital is needed to detect, mitigate and address underlying security problems in your code.

An increasingly large amount of financial information available in a number of heterogeneous business sources implies that the traditional methods of analysis are no longer applicable.

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Similar(46)

Simmons found that the Saudis are using increasingly large amounts of water to force oil out of Ghawar.

In the 20th century private insurance companies wrote increasingly large amounts of group insurance, particularly in life insurance, health insurance, and annuities.

Many states are spending increasingly large amounts on their share of Medicaid spending, which reflects an increasing number of poor people in the program and higher costs of drugs and managed care, said Raymond C. Scheppach, executive director of the National Governors Association.

The sediments of a lake in a glaciated basin, for example, will first receive coarse clastics, then finer clastics, chemical precipitates, and then increasingly large amounts of biological material, including peats and sedges.

Over time, the computers may also be attractive to financial firms, scientific researchers and government security organizations, all of which have to plow through increasingly large amounts of data, looking for meaningful patterns, Mr. Santeler said.

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