Sentence examples for data capture storage from inspiring English sources

This big data era presents challenges to many conventional data analytics research directions including data capture, storage, search, sharing, analysis, and visualization.

Revolutionary advances in data capture, storage, retrieval, and analysis revive questions raised by the Turing test.

The costs of data capture, storage, and distribution are now so low that it is profitable to collect personal data about everyone.

The data capture, storage, and e-monitoring was conducted online using the HealthTracker™ system.

Big data "creates difficulties in data capture, storage, cleaning, analytics, visualization and sharing" [ 43].

Without appropriate data capture, storage, and retrieval routines, data transformation, integration, and visualization will not be possible.

Acquisition subsumes the processes of data generation, capture, storage and archiving whereby data originating in human and social contexts are amassed in a data repository.

Big Data creates new requirements based on complexities in data capture, data storage, data analysis and data visualization.

The three-week intensive course covers the fundamentals of data capture and storage and introduces analytical techniques.

These modules provide the resources for data capture, data storage and management, data access as well as general-purpose data visualisation.

But the data capture and storage techniques to arrive at that smaller set of important data will differ considerably.