great volume of data

USAGE SUMMARY

The phrase "great volume of data" is correct and usable in written English.
It can be used when discussing the amount of data in a particular context, such as research, analysis, or data management. Example: "The researchers faced challenges in processing the great volume of data collected during the study."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

It can help them take advantage of the great volume of data available to make decisions that result in a superlative customer experience.

Massachusetts Institute of Technology

It amassed a great volume of data based on original sources and was a pioneering work in its attempt to depict the development of the Russian state as the result of geographic and historical circumstances rather than as a result of divine providence.

Britannica

Great volume of data is required to train the network to achieve an accurate result.  .

Journal of Industrial Engineering International

A great volume of data with a high velocity can contain too many redundant and obsolete cases.

Vietnam Journal of Computer Science

As a result, the most reasonable way of identifying the CUGs in such a great volume of data is to apply the presented parallel BPNN which parallelizes both training and classification phase.

Journal of Modern Power Systems and Clean Energy

Besides, semi-supervised methods for Relation Extraction are usually applied over a great volume of data, such as Web pages, and the outcome is usually a large number of new relation patterns (e.g., Open IE).

Journal of the Brazilian Computer Society

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

Their ability to handle great volumes of data and to solve large sets of simultaneous equations containing many variables made the finite-element method practicable.

Britannica

In order to produce precise outcomes, most spatial simulations require great volumes of data input, intensive data preparation or programming skills.

Computers, Environment and Urban Systems

In addition to the obvious great volumes of data, Big Data is also associated with other specific complexities, often referred to as the four Vs: Volume, Variety, Velocity, and Veracity [22],[22],[22].

Journal of Big Data

Despite these successes, many challenges remain: HTP platforms are often noisy and suffer from false positives and false negatives; optimal analysis and successful validation require complex workflows; and great volumes of data are accumulating at a rapid pace.

Human Genetics

The Guardian reports that Sir Andrew Dilnot, Chief of the UK Statistics Authority, is to write to the department's leading statistician to request that they publish a greater volume of data in a clearer manner.

Independent

Expert writing Tips

Best practice

When using "great volume of data", consider quantifying the amount if possible to provide more context and impact. For example, "The analysis involved a great volume of data, totaling over 1 terabyte."

Common error

Avoid using "great volume of data" when a simpler term like "large amount of data" suffices. Overusing "great" can diminish its impact. Reserve "great volume of data" for genuinely substantial datasets.

Linguistic Context

The phrase "great volume of data" functions as a noun phrase typically used as an object or complement in a sentence. It refers to a substantial amount of information. As Ludwig AI explains, the phrase is correct and usable in written English.

Expression frequency: Uncommon

Frequent in

Science

40%

News & Media

30%

Encyclopedias

15%

Less common in

Formal & Business

5%

Reference

5%

Social Media

5%

Ludwig's WRAP-UP

The phrase "great volume of data" is a grammatically correct and usable term, typically functioning as a noun phrase to describe a substantial quantity of information. While Ludwig AI confirms its validity, its use is relatively uncommon compared to alternatives like "large amount of data". It's frequently found in scientific, news and encyclopedia contexts, emphasizing the scale and scope of datasets and often implying challenges in processing or analysis. When using this phrase, ensure it accurately reflects the dataset's magnitude and consider whether more specific quantification is appropriate.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

substantial amount of data

Emphasizes the considerable quantity of data.

large quantity of data

Focuses on the abundance of data available.

significant amount of data

Highlights the importance and size of the data.

considerable amount of data

Indicates a noteworthy quantity of data.

extensive data set

Implies a comprehensive and detailed collection of data.

massive data collection

Stresses the sheer size and scope of the data gathered.

huge data repository

Highlights the storage and availability of vast amounts of data.

vast data resources

Focuses on data as a valuable and plentiful resource.

copious data

Emphasizes an abundant supply of data.

tremendous data pool

Highlights the aggregation of very large data.

FAQs

How can I use "great volume of data" in a sentence?

You can use "great volume of data" to describe situations where there is a significant amount of information to process or analyze. For example, "The machine learning algorithm was trained on a "great volume of data" to improve its accuracy."

What are some alternatives to "great volume of data"?

Alternatives include "large amount of data", "substantial quantity of data", or "significant amount of data depending on the context".

Is it better to say "great volume of data" or "large amount of data"?

Both phrases are grammatically correct and convey a similar meaning. "Great volume of data" can emphasize the magnitude, while "large amount of data" is a more neutral alternative.

When is it appropriate to use the phrase "great volume of data"?

Use "great volume of data" when you want to emphasize the substantial and often overwhelming quantity of data being discussed, particularly in contexts like scientific research or data analysis.