Sentence examples for database into a single from inspiring English sources
In order to cover as many distortions as possible and increase the amount of data for training, researchers occasionally merge multiple database into a single one to determine their model and its generalization performance.
To do so, we integrated the whole PID database into a single unified model containing 9177 biomolecules that include all TGF-β related signaling networks.
Using a new formalism, CADBIOM, which is based on guarded transitions and includes temporal parameters, we have built the first discrete model of TGF-β signaling networks by automatically integrating the 137 human signaling maps from the Pathway Interaction Database into a single unified dynamic model.
By consolidating 130 separate databases into a single database on the Internet, Ellison said, Oracle saved a billion dollars a year and found it easier to track, monitor and discriminate among its customers.
Since we're moving the records of eight repositories (in four different Archivists' Toolkit databases) into a single ArchivesSpace instance, we knew that we wouldn't be able to live with this error.
While many interstate organizations have an imperative need to analyze their data in multi-databases distributed throughout their branches, traditional multi-database mining utilizes the strategies for mono-database mining: pooling all the data from relevant databases into a single dataset for discovery.
Therefore, we were able to combine the entries from the two databases into a single group of opinion scores within the same scale.
That may be a bit of an exaggeration, but Orchestrate also notes that it can help businesses save on cost and operational support by consolidating databases into a single service.
As Microsoft today announced during its Build developer conference keynote in San Francisco, its new Azure SQL Database elastic databases (yep, that's the complete name) allow developers to gather their databases into a single pool to ensure they don't over-provision specific databases only to be able to cope with peak demand.
