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mountains of data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "mountains of data" is grammatically correct and can be used in written English.
Example: "After hours of research, the scientist was finally able to sift through the mountains of data to find the key piece of information that would solve the mystery."

✓ Grammatically correct

News & Media

Academia

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Data science helps us glean insights from usually mountains of data.

News & Media

Forbes

"You are accumulating mountains of data just to sit on..

rOpenSci moves mountains of data to transform environmental research.

And increasingly, we leave behind mountains of data.

He bases his arguments on mountains of data.

News & Media

The Economist

That might seem like science and mountains of data being marshaled to prove the obvious.

In mass disasters, there are mountains of data to sift through.

News & Media

The New York Times

Kaggle organizes contests for organizations looking to make valuable predictions from mountains of data.

One lane might be designated for moving mountains of data between companies or researchers.

News & Media

The New York Times

Supercomputers had to become orders of magnitude more powerful to process the mountains of data collected.

And it's not about mountains of data — it's about small, high-precision data.

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Expert writing Tips

Best practice

When using the phrase "mountains of data", ensure that the context clearly indicates the sheer size and potential complexity of the dataset being discussed. This phrase is most effective when emphasizing the challenges and opportunities associated with processing and analyzing large volumes of information.

Common error

Avoid using "mountains of data" when referring to a moderately sized dataset. The phrase implies an exceptionally large and potentially overwhelming amount of information, not merely a substantial quantity.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "mountains of data" functions as a noun phrase, typically serving as the object of a verb or preposition. It refers to a large quantity of data, often implying that the amount is so vast as to be overwhelming. Examples in Ludwig showcase this usage across various contexts.

Expression frequency: Very common

Frequent in

News & Media

52%

Academia

24%

Science

24%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "mountains of data" is a common and descriptive way to refer to extremely large volumes of data. As Ludwig AI confirms, it's grammatically correct and widely used. It emphasizes the scale and complexity of data, often highlighting challenges in processing and analysis. Alternatives such as "vast quantities of data" or "extensive data sets" offer similar meanings, but "mountains of data" is particularly effective in conveying the sheer magnitude of the information. When using this phrase, ensure the context reflects genuinely large and complex datasets to avoid overstatement.

FAQs

How can I use "mountains of data" in a sentence?

You can use "mountains of data" to describe vast datasets that require significant processing and analysis. For example: "Data scientists are needed to sift through the "mountains of data" generated by social media activity."

What does "mountains of data" mean?

The phrase "mountains of data" refers to extremely large and complex datasets, often implying challenges in storage, processing, and analysis.

Which is more appropriate, "mountains of data" or "large dataset"?

"Mountains of data" is more evocative and suggests a greater scale and complexity than "large dataset". Use "mountains of data" when you want to emphasize the immensity of the data and the challenges it presents.

What are some alternatives to using "mountains of data"?

Alternatives include "vast quantities of data", "large volumes of information", or "extensive data sets" depending on the specific context.

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Real-world application tested

Most frequent sentences: