Sentence examples for data to keep pace from inspiring English sources

"But big data is only useful if it's accessible, and with larger data volumes, it's become evident that companies are struggling to process this data to keep pace with the speed of their business".

VCGDB offers a feasible strategy for processing big data to keep pace with the biological data explosion by providing a robust resource for genomics studies; in particular, studies aimed at finding regions of the genome associated with diseases.

We propose that VCGDB offers a feasible strategy for processing big data to keep pace with the growing volume of biological data and provides a robust resource based on the massive amounts of genomics data for genomics studies and investigations into genetic diseases.

During the last years, many countries are experiencing rapid expansions in the number and size of data centers to keep pace with their internet and cloud computing needs.

The torrid growth in data centers to keep pace with the demands of Internet-era computing, their immense need for electricity and their inefficient use of that energy pose environmental, energy and economic challenges, experts say.

Even though unemployment was better than forecast, official data confirmed pay growth failed to keep pace with inflation in the opening three months of 2017 and so wages were falling in real terms.

In addition, each participating laboratory must take advantage of cutting edge technologies, and consequently, data production often pushes the envelope of contemporary data storage capacity, requiring a DCC to keep pace.

Explicit model testing is important for rigorous statistical phylogeography analysis (Knowles 2009; Carstens et al. 2013), and new methods that can handle large genomic data sets are becoming increasingly necessary to keep pace with the growing number of studies using next-generation sequencing data (Smith et al. 2013).

His keeping just needs to keep pace.

In order to take full advantage of these data, robust and accurate computational algorithms for discovering molecular subgroups must be developed to keep pace with the data generation.

Muir P, Li S, Lou S et al. The real cost of sequencing: scaling computation to keep pace with data generation.