Sentence examples for increasing volumes of data from inspiring English sources

Modern science is computationally intensive, under increased pressure to be more interdisciplinary, challenged to analyze increasing volumes of data, and, in some instances, regulated to share data, research, and results with the public.

Are they the best for their purpose, for example for teaching symmetry of molecules or summarizing ever increasing volumes of data?

Increasing volumes of data and improved techniques to hold, merge and act upon that data in real-time is driving personalisation via the more traditional marketing levers: price, promotions, product and place.

Increasing volumes of data about the cellular phenotype and classes of intracellular molecules have necessitated the introduction of systemic methods for the analysis of biological systems.

Streaming algorithms that use every input datum once (single-pass) or scan the input a small number of times (multiple passes) are gaining importance due to the increasing volumes of data that are available for business, scientific, and security applications.

They are part of a new wave of highly specialized technology — both software and hardware — built by and for Web titans like Facebook, Yahoo and Google to help them break data into bite-size chunks, and present their Web pages as quickly and cheaply as possible, even while grappling with increasing volumes of data.

Tuesday's report reinforces an increasing volume of data in recent years that has shown how air pollution is increasing and causing deaths.

Thus, the increasing volume of data is in fact becoming less accessible in terms of coherence and synergy, contrary to what search engines would want us to believe!

The amount of information data scientists need to curate, organize and process can often seem insurmountable, especially given the increasing volume of data sets being generated by sensors, devices and users.

He thinks that "with the ever increasing volume of data generated by the activity of individuals online, there is an incredible opportunity to make the internet more relevant and more responsive".

Existing parallel and distributed infrastructures already have built in mechanisms for efficient transfer of data among the computing units, although, considering the increasing volume of data we are dealing with, this option is no longer efficient.