Sentence examples for requirements of data from inspiring English sources

Some web-applications require dynamic adjustment of consistency requirements of data attributes or objects at different levels, as opposed to constant predefined level of consistency for the data attributes or objects in the database.

A building-oriented database is designed to satisfy the requirements of data organization in the investigations.

We discuss how this form of collaboration helps meet requirements of data confidentiality.

Monolithic web pages are usually burdened with a mix of contradicting expectations ranging from technical requirements of data documentation to branding and public relations.

Programming and computing techniques for the requirements of data science: acquisition and organization of data; visualization, modelling and inference for scientific applications; presentation and interactive communication of results.

The enhanced privacy features in iOS and Google Chrome, and the requirements of data obligations of the EU's General Data Protection Regulation will hurt ad tech and programmatic advertising.

This chapter discusses the main requirements of data-acquisition software and describes some of the problems posed by using operating systems intended for desktop applications in the more demanding environment of a real-time DA&C system.

What this demonstrates is that there is nothing "idealistic" about discussing open source in the life sciences: there are many examples when including those that are directly equivalent to informatics (open source software, databases and the computing requirements of data-driven research).

The partial aims that lead to reaching the main aim are represented by an evaluation of the significance of these analyses in the Slovak health system, meeting all the requirements of data-base high quality, the connections to the issue of reporting the proclaimed international institutions, such as OECD, WHO and Eurostat, which are related to these analyses.

A requirement of data archives is that data holdings can be easily discovered, accessed, and used.

Each event can be analysed for requirement of data, operations and resources.