Fuchsia de l'environment : Fuchsia of Environment
61,90 €
58,80 €
Économisez 5%
Engineered systems provide high performance, high bandwidth, and massive parallelism with enormous capacity to address the challenges faced by high volume workloads; the combining of Spatial and Graph advanced analysis with exadata Database machine performance and scalability delivers an ideal platform for the most demanding applications.
Spatial and Graph fully uses the balanced hardware and highly parallelized architecture of Exadata.
This achieves results faster and features are engineered to natively leverage the parallelism, partitioning, indexing, and the scalability features of Exadata without application changes.
The fully parallelized joins and aggregations of Exadata coupled with the extreme I/O bandwidth and high performance of Exadata storage server provide Spatial and graph analysis with the processing power need for server -based geo-processing and graph applications.A spatial geometry, such as coordinates for an address can be stored as a property and analyzed.
Spatial filtering in graph queries allows the enhancements of graph analysis.
Support for point, line and polygon geometries and function –based spatial indexing, and access to spatial analytic functions.
Folami Obokhai Gbenga est un expert en systèmes d'information géographique et en ingénierie des systèmes, avec des succès dans les applications adaptées à différents secteurs de l'industrie.
Fiche technique
- Auteur
- GBENGA FOLAMI
- Langue
- Français
- Marque
- Omniscriptum
- Année
- 2019
- Pays
Nigeria 
Nigéria
Engineered systems provide high performance, high bandwidth, and massive parallelism with enormous capacity to address the challenges faced by high volume workloads; the combining of Spatial and Graph advanced analysis with exadata Database machine performance and scalability delivers an ideal platform for the most demanding applications.
Spatial and Graph fully uses the balanced hardware and highly parallelized architecture of Exadata.
This achieves results faster and features are engineered to natively leverage the parallelism, partitioning, indexing, and the scalability features of Exadata without application changes.
The fully parallelized joins and aggregations of Exadata coupled with the extreme I/O bandwidth and high performance of Exadata storage server provide Spatial and graph analysis with the processing power need for server -based geo-processing and graph applications.A spatial geometry, such as coordinates for an address can be stored as a property and analyzed.
Spatial filtering in graph queries allows the enhancements of graph analysis.
Support for point, line and polygon geometries and function –based spatial indexing, and access to spatial analytic functions.