Sentence examples for data processing of the large from inspiring English sources
For data processing of the large number of sequence tags from positive clones, we developed a semi-automatic system of two programs for vector sequence trimming and blast search against the Synechocystis sequence database.
Mark V. Hurd, the company's chief executive, has been vigorously adding software and services companies to take on I.B.M. in a ruthlessly competitive business of managing data centers and the data processing of large corporations.
In parallel, the advent of machine learning has brought huge progress to data processing of large datasets.
The more difficult it becomes for an average citizen to oversee and understand all the elements of the data processing, the larger the efforts should become for the data controller to demonstrate that information was provided based on specific…information' (Article 29 Data Protection Working Party 2011, p 20).
Although there is a variety of parallel programming models, the MapReduce paradigm is considered as the most prominent model for problems of large scale data processing of which the clustering.
MapReduce [1] is considered one of the most prominent programming models for problems of large scale data processing of which the cluster analysis.
Bisciglia has in-depth experience with the technology as the founder of Cloudera, a developer and commercial distributor of Hadoop, the open source software that powers the data processing engines of the worldʼs largest and most popular web sites.
For background, Bisciglia founded Cloudera, a developer and commercial distributor of Hadoop, the open source software that powers the data processing engines of the worldʼs largest and most popular web sites.
These techniques entail the acquisition or rendering of a spectrum for each point mapped on the surface of the object (one spectrum per pixel) followed by computer processing of the large data cube to generate maps with contrasts based on the varying signal intensity and thus abundance of the materials being targeted, generally chemical elements or compounds.
Now it wants to ride that victory right off the desktop into the critical data processing operations of large corporations.
Processing of the large XRF data sets was done using datamuncher and PyMca in order to obtain artefact-free elemental distribution maps [12].
