large data

USAGE SUMMARY

"large data" is an acceptable and usable phrase in written English.
It is often used to refer to a large set of information, typically stored in a computer database. For example, "Scientists are using large data to make predictions about the climate."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Some operate their own large data centers.

The New York Times - Tech

Methods for large data sets.

University of California, Berkeley

We also have very large data sets.

Stanford University

Virtualization solved one problem of large data centers: machine sprawl.

The New York Times - Tech

They also have large data storage requirements.

Journal of Systems Architecture

Using aggregation and dynamic queries for exploring large data sets.

Stanford University

Pulli, K., "Multiview registration for large data sets," Proc.

Stanford University

In practice, this is numerically unfeasible for large data sets.

Massachusetts Institute of Technology

Pixel-oriented visualization techniques for exploring very large data bases.

Stanford University

[Pulli99] Pulli, K., Multiview registration for large data sets, Proc.

Stanford University

Funda Ergun's research focuses on algorithms for large data.

University of California, Berkeley

Expert writing Tips

Best practice

When referring to "large data", ensure you specify the context and what makes the data 'large'. Is it the number of records, the number of variables, or the size of the storage it occupies?

Common error

Avoid using "large data" without providing context. It's important to specify what aspects of the data are significant. For instance, rather than stating 'analyzing large data', specify 'analyzing large data sets of patient records to identify trends'.

Linguistic Context

The phrase "large data" functions as a noun phrase where the adjective "large" modifies the noun "data". It identifies a substantial quantity of information, as confirmed by Ludwig. In many cases, it serves as the object of a verb (e.g., analyzing, storing, processing).

Expression frequency: Very common

Frequent in

Science

32%

News & Media

32%

Academia

22%

Less common in

Formal & Business

14%

Ludwig's WRAP-UP

In summary, "large data" is a widely used and grammatically sound phrase that describes a significant amount of information. As Ludwig AI confirms, it appears frequently across different domains, including science, news, and academia. While often interchangeable with "big data", it's important to consider the specific context; "large data" primarily emphasizes volume, whereas "big data" implies additional characteristics like velocity and variety. When using "large data", be specific about what makes the data 'large' to avoid overgeneralization. Remember to tailor your language to the audience, choosing alternatives like "extensive datasets" or "substantial data volumes" for more formal settings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

extensive datasets

Uses a more specific term, "datasets", implying a structured collection of data, and "extensive" to emphasize the comprehensiveness.

substantial data volumes

Replaces "large" with "substantial" and "data" with "data volumes", focusing on the quantity of data.

massive data collections

Emphasizes the scale using "massive" and the organized nature with "collections".

significant data resources

Highlights the importance and usability of the data, rather than just its size.

big data

A common synonym, although it often implies data that is also complex and varied, not just large.

comprehensive data sets

Focuses on the completeness of the data, suggesting it covers a wide range of information.

considerable data

Uses "considerable" as a more formal synonym for "large", suggesting a noteworthy amount of data.

vast quantities of data

Emphasizes the immensity of the data using "vast quantities".

broad data ranges

Indicates diversity and coverage rather than sheer volume.

enormous data repositories

Highlights the storage aspect, suggesting a large amount of data stored in organized repositories.

FAQs

How is "large data" typically used in a sentence?

The phrase "large data" is often used to describe datasets that are extensive in size or complexity. For example, "Researchers are utilizing "large data" to identify patterns in consumer behavior."

What are some alternatives to saying "large data"?

Depending on the specific context, alternatives to "large data" could include "extensive datasets", "substantial data volumes", or even the more common term "big data".

Is "large data" the same as "big data"?

While often used interchangeably, "large data" typically refers to the volume of data, whereas "big data" often implies a combination of volume, velocity, and variety. In short, all "big data" is "large data", but not all "large data" is "big data".

When is it appropriate to use the term "large data" instead of more specific terminology?

Use "large data" when you want to emphasize the sheer size or volume of a dataset without necessarily focusing on its other characteristics. It's a good choice when the size is the most salient feature. But, prefer "extensive datasets" or "substantial data volumes" when you need more precision.