Sentence examples for database landscape from inspiring English sources

MongoDB is redefining the database landscape with its open source model.

Gather the necessary information to provide a general overview of the database landscape, and compare and contrast the various resources.

The goals of these attributes are to provide a general overview of the database landscape, to encourage consistency and interoperability between resources; and to promote the use of semantic and syntactic standards.

The goals of the proposed BioDBCore checklist are given below: Gather the necessary information to provide a general overview of the database landscape, and compare and contrast the various resources.

The third section describes the most essential aspects regarding termbase design and data management in the elaboration of a database for landscape architecture terminology in English and Romanian, while the last one focuses on the advantages of such a termbase to LA professionals as well as to other types of users.

Spatially linked database models, landscape-scale habitat suitability models, and statistical models are viable alternatives for predicting habitat suitability or bird abundance across large planning areas to help assess conservation opportunities, design landscapes to meet population objectives, and monitor change in habitat suitability or bird numbers over time.

Research by NASA to make planes more hijack-proof brings together three systems that already exist in many aircraft: a global positioning system that pinpoints the plane's location and altitude, a computer database of the landscape below, and the autopilot.

Soil, ETM+ satellite images, climatic and landscape database, were integrated through a GIS model.

The 'African Cultural Heritage and Landscape Database' project, initiated and directed by the senior author and administered by Aluka (www.aluka.org), is aimed at the creation of a digital library of spatial and non-spatial materials relating to cultural heritage sites in Africa.

The 30 matched images from the database of Dutch landscape paintings (mean anisotropy 0.17±0.05 S.D.; dataset 5 in Fig. 6D) had lower slope anisotropy values than the 30 matched images from the Groningen database (0.27±0.09 S.D.; p<0.0001; dataset 2 in Fig. 6D), in accordance with the overall difference between the two image databases.

MRB staff has used this information both to curate the resources in MRB accurately, and to examine the evolving database and resource landscape.