Sentence examples for variety of the data from inspiring English sources
An explosive growth in the volume, velocity, and variety of the data available on the Internet has been witnessed recently.
The great thing about wearable and other tracking devices — the new ones in particular — is the volume, velocity and variety of the data they create.
Instead, the complications of big data are mainly driven by the complexity and the variety of the data generated from different domains [4].
On the other hand, the variety of the data, including rich information content and better temporal characteristics, acquired by the new digital sensors and coupled with rapidly advancing processing techniques, is broadening the applications of airborne surveying.
This vast increase in the volume and also the diversity (variety) of the data as well as the speed or velocity that these data are generated with along with the veracity, uncertainty of the data due to certain inconsistency or the ambiguity generated from such data makes it a Big Data problem by covering the main four characteristics of Big Data (volume, velocity, variety, veracity).
To answer this question, insight into the variety of the data collected for research is needed.
The increasing installation of information and communication technologies (ICT) comes hand in hand with an increment in the volume and variety of the collected data, i.e. Big Data.
Therefore, existing techniques and algorithms need to be improved in ways that can handle the extreme volume of data, the wide variety of data types, and the time constraints on data processing.
Veracity directly refers to inconsistencies and data quality problems: With the huge volume of generated data, the fast velocity of arriving data, and the large variety of heterogeneous data, the quality of data is far from perfect.
Two years ago, McKinsey published a report on the potential impact of the explosion in the quantity and variety of digital data and the use of artificial-intelligence software to find insights — a combination known as Big Data.
The enormous variety of data is the second dimension that makes big data both interesting and challenging.
