gigantic volume of data

USAGE SUMMARY

The phrase "gigantic 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 is designed to handle a gigantic volume of data, making it easier for researchers to analyze trends."

✓ Grammatically correct

Science

News & Media

Encyclopedias

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Since World War II great efforts have been made to develop efficient means of cataloging, storing, and retrieving the gigantic volume of data being amassed.

Encyclopedia Britannica

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

The program, called Einstein@Home, will run on personal computers during their idle time and is part of a worldwide project that will help physicists analyze gigantic volumes of data in their test of the central predictions of Albert Einstein's General Theory of Relativity.

Science Magazine

Therefore, developing databases to deal with gigantic volumes of biological data is a fundamentally essential task in bioinformatics.

Genomics, Proteomics and Bioinformatics

These monsters, some containing the mass of billions of suns, can swallow gigantic volumes of gas and dust.

Science Magazine

It also can help reduce the transfer of gigantic volumes of audio and video recordings generated by police dashboard and video cameras.

TechCrunch

The volume of data is increasing with gigantic amount day by day, and no doubt the era of big data has arrived.

Complex Adaptive Systems Modeling

The overall volume of data protection concerns submitted fell.

The Guardian

"For us, like other data centers, the volume of data continues to explode," Mr. Bourgeois said.

The New York Times - Tech

Given the sheer number of user accounts and the volume of data each one contained, data security was crucial.

The Guardian - Tech

"The volume of data is not irrelevant, but not as important as it sounds.

The Guardian

The sheer volume of data being transmitted and stored is also set to explode.

The Guardian

Expert writing Tips

Best practice

When describing data, consider the context. Use "gigantic volume of data" when you want to emphasize the sheer size and potential overwhelm associated with processing it.

Common error

While "gigantic" emphasizes size, be mindful of overuse. Continuously describing data volumes as "gigantic" can diminish the impact. Vary your language using terms like "substantial", "extensive", or "massive" for better stylistic variation.

Linguistic Context

The phrase "gigantic volume of data" functions as a descriptive noun phrase. It modifies an implied subject by characterizing the size of the data. Ludwig identifies the phrase as correct and usable, confirming its grammatical soundness.

Expression frequency: Rare

Frequent in

News & Media

32%

Science

32%

Formal & Business

10%

Less common in

Encyclopedias

3%

Reference

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "gigantic volume of data" is a grammatically correct and usable phrase for describing large amounts of information. Ludwig confirms its validity, though its frequency is rare based on the provided data. It serves to emphasize the scale and potential challenges of processing substantial datasets, finding applications across science, news, and formal business contexts. Alternatives like "massive amount of data" or "substantial dataset" can offer stylistic variations while retaining similar meaning. When using the phrase, consider the context and avoid overuse to maintain its impact.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

massive data quantities

Replaces 'gigantic volume' with 'massive data quantities', focusing on the quantity aspect.

enormous data heaps

Substitutes 'gigantic volume' with 'enormous data heaps', implying a large, unstructured collection.

substantial data amounts

Replaces 'gigantic volume' with 'substantial data amounts', indicating a significant quantity.

extensive data reserves

Changes 'gigantic volume' to 'extensive data reserves', suggesting a large, available supply of data.

vast data troves

Replaces 'gigantic volume' with 'vast data troves', emphasizing the richness and value of the data.

copious data magnitudes

Substitutes 'gigantic volume' with 'copious data magnitudes', highlighting the abundant and significant scale of the data.

considerable data aggregations

Changes 'gigantic volume' to 'considerable data aggregations', focusing on the collected and significant nature of the data.

immense data pools

Replaces 'gigantic volume' with 'immense data pools', suggesting a large collection from different sources.

limitless data expanses

Substitutes 'gigantic volume' with 'limitless data expanses', emphasizing the virtually unbounded nature of the data.

immeasurable data quantities

Changes 'gigantic volume' to 'immeasurable data quantities', suggesting that the amount of data is too large to be measured.

FAQs

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

You can use "gigantic volume of data" to describe the large amount of information, like "The project requires analyzing a "gigantic volume of data" to identify trends."

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

Alternatives include "massive amount of data", "enormous quantity of data", or "extensive data set" depending on the context.

Is it appropriate to use "gigantic volume of data" in formal writing?

Yes, "gigantic volume of data" can be used in formal writing, but consider alternatives like "substantial data set" for a more nuanced tone. The appropriateness depends on the specific context and audience.

What does "gigantic volume of data" imply about data processing?

"Gigantic volume of data" suggests the need for significant computational resources and advanced analytical techniques to handle and derive insights from the information effectively. It often implies challenges in storage, processing, and analysis.