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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
massive data repository
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "massive data repository" is correct and usable in written English.
It can be used when referring to a large storage system or database that holds a significant amount of data. Example: "The company invested in a massive data repository to enhance its data analytics capabilities."
✓ Grammatically correct
News & Media
Science
Alternative expressions(2)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
2 human-written examples
It's also interesting to me because people have long known that LinkedIn is a massive data repository.
News & Media
Three services that will be added as a result of the deal are Managed Open Data using CKAN, publicly-available CivicDashboards (a massive data repository that includes U.S. Census data, maps, Department of Labor stats, and a whole lot more), and customized performance dashboards.
News & Media
Human-verified similar examples from authoritative sources
Similar Expressions
58 human-written examples
To date, processing of these massive data repositories has focused mostly on tracing forest growth and loss across very large areas within pre-defined study periods.
The manipulation scenario also sounds plausible because we've seen other companies use their massive data repositories and the users' profiles they generated to subtly encourage a certain course of action.
News & Media
Yang argues that a massive feature-rich data repository such as Facebook has "terrifying" implications for data privacy — given it's unclear how the user's information is going to end up being sliced and diced by Facebook and Facebook users.
News & Media
The editorial team agrees that resources must be committed to the developing and continuous support of public data repositories, while focusing not only in the challenges of storing the massive data files but also for more efficient annotation of the data involved.
Science
Massive data.
News & Media
New York, for instance, is spending $32.1 million over several years to build a state data repository system.
News & Media
"Well, if you're asking is it data repository or information-hierarchy domain?" he said.
News & Media
He said the move to a single data repository had "caused a number of problems".
News & Media
This involves massive data exchange.
Expert writing Tips
Best practice
When describing a "massive data repository", be specific about the type of data it holds (e.g., genomic data, customer data, sensor data) to provide context and relevance.
Common error
Avoid using "massive data repository" hyperbolically. Ensure the dataset's size genuinely warrants the 'massive' descriptor; otherwise, opt for terms like 'large' or 'extensive'.
Source & Trust
79%
Authority and reliability
4.1/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "massive data repository" functions as a noun phrase, typically serving as the subject or object in a sentence. Ludwig AI analysis confirms it's used to describe a large, organized collection of data. It effectively names and categorizes a specific type of data storage infrastructure.
Frequent in
Science
50%
News & Media
50%
Formal & Business
0%
Less common in
Academia
0%
Encyclopedias
0%
Wiki
0%
Ludwig's WRAP-UP
In summary, "massive data repository" is a noun phrase used to describe a large-scale data storage solution, as confirmed by Ludwig AI's analysis. While grammatically correct and understandable, its frequency is rare, primarily appearing in Science and News & Media. When using this phrase, ensure the scale genuinely warrants the descriptor, and consider specifying the type of data stored for better context. Alternatives like "large data storage" or "extensive database" might be more appropriate depending on the specific nuance you wish to convey.
More alternative expressions(10)
Phrases that express similar concepts, ordered by semantic similarity:
large data storage
Focuses on the storage aspect, emphasizing the quantity of data rather than the organized structure.
extensive database
Highlights the database aspect and data organization rather than sheer size.
huge data archive
Emphasizes the archival nature and large scale of the data.
gigantic data warehouse
Specifies the data management system as a warehouse implying data integration from multiple sources.
vast information store
Replaces 'data' with 'information', emphasizing the processed and meaningful nature of the stored content.
colossal data set
Highlights a collection of data rather than its storage location.
comprehensive data collection
Focuses on the completeness and gathering aspect of the data.
immense digital archive
Highlights the digital format and archival nature of the collection.
broad data resource
Emphasizes the utility and wide-ranging nature of the data available.
expansive data storage system
Specifically refers to the system in place for storing data on a large scale.
FAQs
How is a "massive data repository" different from a regular database?
A "massive data repository" implies a significantly larger scale and complexity compared to a standard database. It often involves diverse data types and sources, requiring advanced storage and processing capabilities.
What are some alternatives to using the phrase "massive data repository"?
Depending on the context, you could use "large data storage", "extensive database", or "huge data archive" to convey a similar meaning.
In what contexts is the term "massive data repository" most appropriate?
The term is suitable in technical, scientific, or business contexts when discussing large-scale data storage solutions, data analytics infrastructure, or big data initiatives.
What are the key considerations when building a "massive data repository"?
Key considerations include scalability, data security, data governance, efficient data retrieval, and the ability to handle diverse data formats and sources.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
79%
Authority and reliability
4.1/5
Expert rating
Real-world application tested