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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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enormous data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "enormous data" is correct and can be used in written English.
It is usually used to describe data that is so vast that it is difficult to manage or analyze. For example, "This research project requires us to analyze an enormous data set of over 1 million records."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

So what does this enormous data set reveal about humanity?

Large-scale natural resource inventories generate enormous data sets.

In Building Management Systems, there are enormous data stored.

At this point, Yankovich says, the system will dive into its enormous data sets.

Mask-based lithography is ideal for high-volume manufacturing because it enables enormous data transfer rates.

The readout chip for the CMS pixel detector has to deal with an enormous data rate.

Apparently Prineville, Ore., is a ripe area for building enormous data centers.

News & Media

The New York Times

You can see the impact that these enormous data sets are having in the private sector.

News & Media

The New York Times

As companies like Google and Microsoft build enormous data centers, the strong computing core has appeared.

News & Media

The New York Times

Enormous data processors, encased in glass cubes, whirred in the distance, as though we'd landed in a NASA laboratory.

News & Media

The New Yorker

At that time, economics was being transformed by the computer, which suddenly made enormous data sets readily accessible.

News & Media

The New Yorker
Show more...

Expert writing Tips

Best practice

When describing "enormous data", be specific about its source and potential uses to add clarity and impact to your writing.

Common error

Avoid using "enormous data" as a mere buzzword. Ensure the data's size genuinely presents unique challenges or opportunities for analysis and insight.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "enormous data" functions as a noun phrase, where the adjective "enormous" modifies the noun "data". Ludwig AI confirms its grammatical correctness. It typically acts as the subject or object of a sentence, referring to the quantity of information.

Expression frequency: Very common

Frequent in

Science

41%

News & Media

38%

Academia

12%

Less common in

Formal & Business

3%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "enormous data" is a grammatically correct and frequently used phrase that effectively describes large-scale datasets across various domains. As Ludwig AI confirms, the phrase is appropriate in multiple contexts. The phrase sees prominent use in scientific research, news reporting, and academic studies. When using "enormous data", ensure that you specify the context and potential implications of the data's size. Consider alternatives such as "vast quantities of data" or "massive data sets" to add nuance to your descriptions.

FAQs

How can I effectively use "enormous data" in a sentence?

To effectively use "enormous data" in a sentence, provide context about the type of data, its source, and its significance. For example, "The study analyzed an "enormous data" set of customer transactions to identify purchasing trends."

What are some synonyms for "enormous data"?

Synonyms for "enormous data" include "massive data sets", "large-scale data", and "vast quantities of data". The best choice depends on the specific context and the nuance you want to convey.

Is it better to say "enormous data" or "big data"?

Both "enormous data" and "big data" are acceptable, but "big data" is often used in technical or business contexts to refer to datasets too large or complex to be dealt with by traditional data-processing application software. The use of "enormous data" is appropriate in a broader range of contexts.

What challenges are associated with processing "enormous data"?

Processing "enormous data" can present challenges such as storage limitations, computational complexity, and the need for specialized analytical techniques. Efficient algorithms and distributed computing systems are often required.

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Source & Trust

85%

Authority and reliability

4.6/5

Expert rating

Real-world application tested

Most frequent sentences: