Sentence examples for a big database of from inspiring English sources

The phrase "a big database of" is correct and usable in written English.
You can use it when referring to a large collection of organized information stored in a computer system.
Example: "The company has developed a big database of customer information to improve its marketing strategies."
Alternatives: "a large repository of" or "an extensive collection of".

Exact(17)

There's also a big database of job classifieds, an events diary, training information and a skills builder.

A big database of "disengaged" customers will be established and suppliers will be invited to try to grab their attention.

His name was entered into a big database of around 550,000 people who potentially posed a security risk.

We essentially run a sales campaign where we build a big database of people that we think fit the profile.

Although Audible Magic maintains a big database of popular copyrighted music, he said, the fingerprints are not the actual songs, but summaries of factual measurements describing the sound.

There's a big database of all the projects and sending organisations from all over the world on the European commission website; just Google "EVS database".

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Similar(43)

Bradley Parks, author of the report and co-director of AidData, which keeps a big database on the impact of aid, finds that they actually want more conditionality, not less, and that incentives encourage governments to reform.

It then matches this up against a bigger database of offers and products to suggest deals to the shopper in question.

This is in progress but the idea, it sounds like, will not only involve computer vision but also machine learning to tap into a bigger database of what "lookalike" complexions and people choose for colors, as well as a database created by Josh Wood itself to match those colors, based on the tinting choices that many professionals would make for those people were they sitting in a chair in a salon.

The experiments provided a big database for the proper quantification of vehicle induced pressure loads on roadside walls as a function of vehicle types, vehicle velocities and the passing distance.

Using diverse spatial data (census data, agrometeorological data, telemetry data, satellite imagery data), they propose an integrated and comprehensive system and create a big database to manage and communicate information of the natural disasters situation.

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