a huge volume of data

USAGE SUMMARY

The phrase "a huge volume of data" is correct and usable in written English.
It can be used when discussing the amount of information or data being processed, analyzed, or stored in various contexts, such as technology, research, or business. Example: "The new software can handle a huge volume of data, making it ideal for large-scale analytics."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

19 human-written examples

Bank agencies daily store a huge volume of data regarding clients and their operations.

Decision Support Systems

Big Data Analytics BDAA) delivers data management solutions in the cloud architecture for storing, analysing and processing a huge volume of data.

Procedia Computer Science

MapReduce for cyber-physical system (CPS) is supported by a parallel algorithm that efficiently process a huge volume of data sets.

Future Generation Computer Systems

ABC algorithm is used to select features, whereas, MapReduce is supported by a parallel algorithm that efficiently processes a huge volume of data sets.

Future Generation Computer Systems

For a decade, Brazil has been running PELD1, a long-term ecological research program that has collected a huge volume of data from a network of dispersed and unstructured ecological sites.

Ecological Informatics

Another issue on trial seems to be whether a huge volume of data on nuclear tests and bomb features, the information Dr. Lee downloaded, is as important as simple blueprints for constructing bombs, the sort of prize that might have been sought in traditional spycraft.

The New York Times

Human-verified similar examples from authoritative sources

Similar Expressions

41 human-written examples

It is a huge volume of transactional data that flows through our systems because we do it for them.

Forbes

The emergence of a huge volume of "omics" data enables a computational approach to the investigation of the biology of cancer.

Chinese Journal of Cancer

However, it should be also noted that biology is in its infancy (compared with other disciplines, e.g., physics) and many theoretical problems in biology are under the surface, albeit a huge volume of biological data are available now.

Biology Direct

In addition, research communities will face the generation of a huge volume of new data including re-sequencing of related samples, transcriptomics (RNA-Seq), transcriptional regulation profiling (e.g. Chip-Seq), epigenetic studies, high-throughput genotyping and other related whole-genome functional studies.

Database : the journal of biological databases and curation

Despite a huge volume of accumulated data on the activity of both isolated and synthetic Lipid A derivatives, there is no universal correlation between the chemical structure of Lipid A and its function in TLR4/MD-2 complex, which would allow the prediction of biological activity of a particular Lipid A variant.

ACS Chemical Biology

Expert writing Tips

Best practice

When using "a huge volume of data", ensure that the context clearly indicates what kind of data you're referring to and why its size is significant.

Common error

Avoid using "a huge volume of data" simply as filler. Make sure the size of the data is genuinely relevant to your point, otherwise, opt for more precise language.

Linguistic Context

The phrase "a huge volume of data" functions as a noun phrase, typically serving as the object of a verb or preposition. Ludwig AI confirms its correct grammatical standing.

Expression frequency: Common

Frequent in

Science

40%

News & Media

35%

Formal & Business

25%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "a huge volume of data" is a grammatically correct and commonly used expression to indicate a substantial amount of information. As Ludwig AI confirms, this phrase is effective across science, news media, and business contexts. When using this phrase, it's essential to specify the type of data and its relevance. Alternative phrases include "large amount of data" or "significant quantity of data". However, avoid overusing it as filler; ensure the size of the data is genuinely significant to your discussion.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Vast amount of information

Substitutes "volume of data" with "amount of information", focusing on the content rather than the size.

Extensive collection of data

Emphasizes the completeness and comprehensiveness of the data.

Large accumulation of data

Highlights the gathering or build-up aspect of the data.

Substantial data quantity

Replaces "huge volume" with a more concise adjective-noun combination.

Immense data resources

Frames data as a resource, highlighting its potential value and scale.

Considerable body of data

Replaces "volume" with "body", giving a more formal and academic tone.

Massive data repository

Implies a structured storage system containing an extensive amount of data.

Copious data sets

Uses "copious" to emphasize the plentiful nature of the data in a set format.

Comprehensive data compilation

Focuses on the thorough and complete nature of the data collection.

Significant data reservoir

Metaphorically describes data as a reserve, implying abundance and potential use.

FAQs

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

You can use "a huge volume of data" to describe situations where large datasets are involved, such as "Analyzing "a huge volume of data" is essential for machine learning algorithms".

What are some alternatives to saying "a huge volume of data"?

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

Is it correct to say "a huge volume of data"?

Yes, "a huge volume of data" is grammatically correct and commonly used to describe a large quantity of information.

What does "a huge volume of data" typically refer to?

It usually refers to large datasets analyzed in fields like data science, statistics, and business intelligence. It can also describe the output generated from scientific experiments or simulations.