massive volume of data

USAGE SUMMARY

The phrase "massive volume of data" is correct and usable in written English.
It can be used when discussing large amounts of information, particularly in contexts related to data analysis, technology, or research. Example: "The new software can process a massive volume of data in just a few minutes, making it highly efficient for our needs."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

20 human-written examples

Therefore, it becomes computationally inefficient to analyze and select features from such massive volume of data.

Future Generation Computer Systems

Therefore, it becomes computationally inefficient to analyze such massive volume of data.

Future Generation Computer Systems

Collectively, the featured papers described a massive volume of data, much of which would require extensive analysis through the application of computers to become useful.

Encyclopedia Britannica

MapReduce is a simple, scalable and fault-tolerant data processing framework that enables us to process a massive volume of data.

Neurocomputing

Machine-to-Machine (M2M) communication relies on the physical objects (e.g., satellites, sensors, and so forth) interconnected with each other, creating mesh of machines producing massive volume of data about large geographical area (e.g., living and non-living environment).

Neurocomputing

The rapid growth in the number of monitoring installations and higher expectations of the quality parameters of the captured data result in an enormous computational cost of analyzing the massive volume of data.

Information Sciences

Human-verified similar examples from authoritative sources

Similar Expressions

40 human-written examples

It previously took years of processing time just to sift through these massive volumes of data, but now it can be done in hours.

Massachusetts Institute of Technology

This is encompassed by the phenomenon of Big Data, massive volumes of data with a wide variety that can be captured, analysed and used for decision-making.

Agricultural Systems

Dr Alex May Manchester I was very pleased to read your front-page piece (18 October) on the investigatory powers tribunal ruling that British security agencies have secretly and unlawfully collected massive volumes of data on UK citizens.

The Guardian

The ubiquitous proliferation of data, combined with the means to capture and analyze massive volumes of data with agility and speed at scale, is driving innovation that extends far beyond traditional data and analytics functions.

Massachusetts Institute of Technology

I was very pleased to read your front-page piece (18 October) on the investigatory powers tribunal ruling that British security agencies have secretly and unlawfully collected massive volumes of data on UK citizens.

The Guardian

Expert writing Tips

Best practice

When discussing the challenges posed by the Internet of Things (IoT), use "massive volume of data" to highlight the scale of information that needs processing and analysis.

Common error

Don't use "massive volume of data" when a simpler term like "big data" or "extensive data" suffices. Overusing descriptive adjectives can make your writing sound verbose.

Linguistic Context

The phrase "massive volume of data" functions primarily as a noun phrase. It serves as a subject, object, or complement within a sentence to describe large quantities of digital information. Ludwig AI confirms its proper usage in numerous contexts.

Expression frequency: Common

Frequent in

Science

40%

News & Media

35%

Academia

25%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "massive volume of data" is a grammatically correct and commonly used noun phrase to describe substantial amounts of digital information. Ludwig AI confirms its usage across various contexts, including science, news, and academia. While versatile, it's important to avoid redundancy and consider simpler alternatives like "big data" when appropriate. When the emphasis is on the challenges of processing extremely large and complex datasets, framing it as "massive volumes" will highlight this issue.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

vast amounts of data

Uses "amounts" instead of "volume", conveying a similar meaning.

huge data quantities

Replaces "volume" with "quantities" and "massive" with "huge", emphasizing the amount of data.

large-scale data sets

Uses "large-scale" instead of "massive" and "data sets" in place of "volume of data", highlighting the size and structure.

extensive data resources

Substitutes "volume" with "resources", focusing on the availability of data.

substantial data collections

Emphasizes the organized accumulation of data using "collections".

tremendous data deluge

Emphasizes the overwhelming flow of data using "deluge".

considerable data aggregations

Highlights the combined data with "aggregations".

immense data reservoirs

Replaces "volume" with "reservoirs", suggesting a storage aspect.

significant data troves

Substitutes "volume" with "troves", indicating valuable data.

gigantic data pools

Emphasizes shared data with "pools".

FAQs

How to use "massive volume of data" in a sentence?

You can use "massive volume of data" to describe the amount of information generated by various sources. For example, "The analysis of the "massive volume of data" from social media provides valuable insights into consumer behavior."

What can I say instead of "massive volume of data"?

You can use alternatives like "huge data quantities", "extensive data resources", or "vast amounts of data" depending on the context.

Which is correct, "massive volume of data" or "large amount of data"?

Both "massive volume of data" and "large amount of data" are correct, but "massive volume of data" emphasizes the scale and potential challenges associated with handling such data.

What's the difference between "massive volume of data" and "big data"?

"Massive volume of data" refers to the sheer size of the dataset. "Big data", on the other hand, encompasses the challenges of processing, analyzing, and managing extremely large and complex datasets. The term also includes its analysis and the insights that can be derived.