The phrase "a very large database" is correct and usable in written English.
You can use it when describing the size of a database in a technical or informational context.
Example: "The research project requires access to a very large database of historical climate data to analyze trends over the past century."
Alternatives: "an extensive database" or "a massive database".
The article by Oussar et al. deals with localization of GSM devices in domestic or office environments using a very large database of RSS fingerprints.
They then spent years sequencing other species-specific markers, like mitochondrial genes, which could support their work and finally compared them with a very large database of wild bird DNA to find any matches.
When a search is performed in a very large database, it becomes exhaustive to go through the whole database and to calculate the distance between the example and all database samples.
Which is really amazing because — and the fact that it will be an open source database is just, I think, outstanding — in the research environment for so long we have held our information closed because people were competing for grants and for resources but now this is an opportunity to query what will potentially be a very large database with many important questions".
We aim to analyze our clinical experience with this disorder, in particular, the associated systemic diseases, complications, treatments methods, and outcomes of patients with scleritis presenting to a tertiary institution in Singapore from a very large database of ocular inflammatory disease Ocular Autoimmune Systemic Inflammatory Infectious Study OASISS) database.
The NSA holds this metadata in a very large database for a period of five years, after which it is expunged.
The very large database of ESTs has been a useful source for extracting such information by bioinformatics approaches.
However, scalability is still an issue due to memory constraints or large databases, with very large database segmentation leading to additional performance decline.
The very large database of two-line element data can be used a second option.
In general, the random effects model was preferred because of the large variance within and between samples as well as the effects of several very large database studies that may have introduced bias.
The WebSemantics (WS) architecture (G. Mihaila et al., 1998, in Proc. 6th Int. Conf. On Extending Database Technology (EDBT), pp. 87 101; and G. Mihaila et al. 2000, Very Large Database Journal, in press) was developed to solve the task of publishing and locating data sources using the WWW.
