Sentence examples for volume of raw data from inspiring English sources

As the volume of raw data increases traditional data processing methodologies, especially those involving manual manipulation are becoming increasingly difficult to manage.

Bioinformatic tools for analysis of this ever-expanding volume of raw data are developing apace, and genomics, the study of whole genomes, has become an independent biological discipline.

Visual analytics is the process for an analyst to learn the facts from the large volume of raw data through different forms of visualization.

This issue is likely to become ever more pressing as the volume of raw data in biological databases increases without a concomitant increase in actual knowledge.

The online forums which act as a source of 'Big Data' are able to provide extremely high volume of raw data that can be used to extract information – discover adverse drug reactions in our approach.

There is a lot of room for new methods to extract valuable information from the volumes of raw data generated within the medical research enterprise.

Big Data represents the general realm of problems and techniques used for application domains that collect and maintain massive volumes of raw data for domain-specific data analysis.

The data refinery cluster in HPCC Systems (Thor system cluster) is designed for processing massive volumes of raw data which ranges from data cleansing and ETL processing to developing machine learning algorithms and building large-scale models.

This has brought out the need of designing and implementing appropriate receivers in order to track and process this kind of signals in real-time to avoid the storage of huge volumes of raw data.

As the popularity of this approach grows, there is a need to develop suitable analysis pipelines to handle the large volumes of raw data that each screen generates.

The volume, inconsistency and relevance of raw data needs to be addressed, as does the ability to make it contextual – but without applying human bias to make the data fit or support a preconceived assumption or forecast.