Sentence examples for large data repository from inspiring English sources

This situation is especially true if a business customer needs to manage their large data repository, representing terabytes of data storage or even greater.

This paper argues that there is a significant potential to integrate ship lifecycle data from different phases of its operation in large data repository for deliberate aims and evaluations.

Ongoing issues reported for supporting research included securing funding, the difficulty in collecting costs of individual treatments, and the skills and support necessary to manage a large data repository.

In a large data repository, users may want to search for results based on widely varying criteria – for example, the proteins identified, the change in the level of a protein over time, the mechanism by which a sample was studied, etc.

Data mining has emerged as a field of study aimed at developing tools and techniques for the exploration of large data repositories, in order to obtain new, valuable, non-trivial and implicitly existing information [1].

This is more evident on large data repositories such as YouTube and cloud storage.

Some agencies ask as many as 400 questions, and the answers are fed in to large data repositories.

Obviously, development of such strategies will be greatly enhanced by the availability of large data repositories [16, 17, 18, 19].

Knowledge discovery in large data repositories involves processes and activities that are computationally intensive, collaborative, and distributed in nature.

In the last decade, though, large data repositories and new techniques of data collection (e.g., crowd-sourcing) have become readily available (i.e., "open data revolution" [8, 9]).

Over the course of the last decade, interest in the use of large data repositories for clinical research in orthopedic and spine surgery has grown substantially.