Sentence examples for increased volume of data from inspiring English sources

Simultaneously, to handle the increased volume of data, we are renewing the data storage system.

The increased volume of data collected with these technologies poses questions regarding the storage, maintenance and retrieval of these data.

These systems allow for an increased volume of data to be collected and for activity data to be better used as measures of behaviour.

It became clear that the hierarchy of journals has changed over the last fifty years, and the pressure to publish in those considered to have the highest impact has increased considerably, partly a result of the increased volume of data being produced and the need for readers to filter relevant information from the copious amounts of less pertinent stuff available.

Many researchers have commented that this increased volume of data has not yet yielded proportional improvements in biological knowledge (3 5).

There is also a need for investment in capacity to analyse the increased volume of data at sub-national level so that national 'norms' do not lose sight of concentrations of disease, need and equity issues in particular settings.

More importantly, to keep pace with changing business needs, together with increased volumes of data generated from a variety of different sources, a global ERP system must be able to manage additional modules and processes.

These forces include (1) dramatically increased volumes of data from observational and experimental networks, (2) increases in computational power, (3) advances in ecological models and related statistical and optimization methodologies, and most importantly, (4) societal needs to develop better strategies for natural resource management in a world of ongoing global change.

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.