big amount of data

USAGE SUMMARY

"big amount of data" is a correct and usable phrase in written English.
It can be used when describing a large quantity of information or facts. For example: - "Our company has collected a big amount of data from our customer surveys." - "It took me hours to analyze the big amount of data we gathered for the research project." - "The system crashed due to the big amount of data being processed at once." In these examples, "big amount of data" is used to quantify and emphasize the large volume of information being discussed.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

With large resource capacity, clouds have become a primary infrastructure for users to store big amount of data and perform large-scale computations.

Journal of Parallel and Distributed Computing

A big amount of data about milk production and cow welfare is available from milking robot and many researches are focussing on them in order to find relationships and correlations among the various parameters.

Biosystems Engineering

Accordingly, this paper proposes a new model to optimize virtual machines selection (VMs) in cloud-IoT health services applications to efficiently manage a big amount of data in integrated industry 4.0.

Future Generation Computer Systems

This big amount of data must be analyzed with innovated technologies to discover new knowledge.

Journal of Cloud Computing: Advances, Systems and Applications

However, first performance measurements showed that loading a big amount of data can take relatively long (up to 10 s).

Journal of Cloud Computing

For big amount of data items, large range of key space, it is necessary to distribute data to multiple ZDB instances and scale the system as data growing.

Vietnam Journal of Computer Science

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

Considering the tools to manage the big amounts of data generated by this systems.

Open Geospatial Data, Software and Standards

These structural tensors have a wide range of applications such as spectral hypergraph theory, higher-order Markov chains, big amounts of data, polynomial optimization, magnetic resonance imaging, simulation, automatic control, and quantum entanglement problems [1, 2, 4 8, 10 18].

Journal of Inequalities and Applications

On top of that kind of raw reporting, Shim's background in web analytics at places like Quantcast, Farecast, and aQuantive puts the company in a strong position to handle big amounts of data and shape it into quantifiable trends.

TechCrunch

This will bring a massively bigger amount of data into the mix, covering what IBM describes as billions of IoT sensors.

TechCrunch

This will bring a massively bigger amount of data into the mix, covering what IBM describes as billions of IoT sensors.

TechCrunch

Expert writing Tips

Best practice

When discussing technical topics, consider using more formal alternatives such as "large volume of data" or "significant quantity of data" for enhanced clarity and professionalism.

Common error

Avoid using "big amount of data" in highly formal documents. While grammatically correct, it may sound less sophisticated than alternatives like "substantial data" or "extensive dataset".

Linguistic Context

The phrase "big amount of data" functions as a noun phrase, acting as the object of a verb or preposition. It indicates a large quantity of information. Ludwig provides various examples where this phrase is used to describe situations involving significant data volumes.

Expression frequency: Uncommon

Frequent in

Science

50%

News & Media

33%

Formal & Business

17%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "big amount of data" is a grammatically correct phrase used to describe a large quantity of data. Ludwig AI confirms its usability across various contexts, though more formal alternatives may be preferred in technical writing. While predominantly used in scientific, news, and business contexts, it's essential to consider the audience and purpose when choosing between "big amount of data" and its synonyms.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

large volume of data

Replaces "amount" with "volume", emphasizing the quantity of data.

extensive data set

Uses "data set" to specify that the data is structured, and "extensive" to indicate a large quantity.

significant quantity of data

Replaces "big" with "significant" and "amount" with "quantity" offering a more formal tone.

substantial body of data

Emphasizes the comprehensiveness of the data.

considerable mass of data

Uses "mass" to convey the idea of a large, accumulated quantity.

huge data resources

Highlights data as a resource in large measure.

massive data collection

Focuses on the process of gathering a large amount of data.

copious data

Uses "copious" for a more concise and literary way to indicate a large quantity.

abundant data

Replaces "big amount" with "abundant", indicating plentiful data.

vast quantities of data

Highlights the sheer number of data points.

FAQs

How can I use "big amount of data" in a sentence?

You can use "big amount of data" to describe situations where a large quantity of information is involved, such as "Our research project generated a big amount of data", or "The company needs new tools to manage the big amount of data it collects".

What's a more formal way to say "big amount of data"?

For more formal contexts, you could use phrases like "large volume of data", "substantial data", or "extensive dataset".

Is it always appropriate to use "big amount of data" in technical writing?

While grammatically correct, "big amount of data" may be perceived as less precise in technical contexts. Consider using more specific terms depending on what you are referring to, like "extensive data set".

What are common challenges associated with handling a "big amount of data"?

Challenges often include efficient storage, processing speed, and accurate analysis. Solutions might involve using big data technologies or optimizing data management strategies.