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The phrase "a warehouse of data" is correct and usable in written English.
It can be used to describe a large collection or storage of information, often in a digital context.
Example: "The new database serves as a warehouse of data for all our research projects, making it easier to access and analyze information."
Alternatives: "a repository of data" or "a data reservoir".
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If they are not, he advocates building a datamart -- this being a warehouse of data from a single division or location.
If they are not, he advocates building a datamart — this being a warehouse of data from a single division or location.
In addition to providing a warehouse of data, Data Repository staff work with the users to educate them on the datasets as well as assist them in the acquisition of multiple data sets for cross-study analysis.
Similar(57)
Your cellphone, meanwhile, records every move you make, and it gets cheaper every month to store a warehouse full of data about Americans.
The Google Earth Engine brings together the world's satellite imagery trillions of scientific measurements dating back more than 25 years and makes it available online with tools for scientists, independent researchers, and nations to mine [a] massive warehouse of data to detect changes, map trends and quantify differences to the earth's surface….
The availability of genomic tools and access to a large warehouse of transcriptome data for the model organism, Streptomyces coelicolor, provides incentive to decipher the intricacies of the regulatory cascades and develop biologically meaningful hypotheses.
Since 2004, Pfizer maintains a comprehensive, centralized computerized data warehouse of all data from the three phase I trial centers.
One commenter worried about the lack of a systematic warehouse of deposited screening data.
To overcome this, the virtual data warehouse is a series of data standards and automated processes that guide the generation of similarly constructed data tables at each organization.
We then describe an implementation of a P2P system for answering OLAP queries over a network of data warehouses.
In September, for instance, it gave $1.7 billion for Netezza, a vendor of data warehouses (specialised computer systems that quickly crunch through huge amounts of data).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com