massive datasets

USAGE SUMMARY

The phrase "massive datasets" is correct and commonly used in written English.
It is typically used to refer to large collections of data that require specialized tools and techniques for analysis. Example: The researchers used complex algorithms to process the massive datasets and uncover patterns and trends in consumer behavior.

✓ Grammatically correct

Academia

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Mining Massive Datasets Course, Stanford, 2016.

Stanford University

In winter 2013 I taught CS246: Mining Massive Datasets.

Stanford University

In winter 2011 I taught CS246: Mining Massive Datasets.

Stanford University

Availability of massive datasets is revolutionizing science and industry.

Stanford University

In winter 2012 I taught CS246: Mining Massive Datasets.

Stanford University

Network theory has become the standard methodology to frame, develop and analyze such massive datasets.

Journal of Transport Geography

New cohorts and studies have produced massive datasets consisting of over 100,000 individuals.

University of California, Berkeley

His main research interests lie in algorithms for massive datasets and sub-linear time streaming algorithms.

University of California, Berkeley

Scaling up Artificial Intelligence (AI) algorithms for massive datasets to improve their performance is becoming crucial.

Future Generation Computer Systems

Massive datasets arise in a broad spectrum of scientific, engineering and commercial applications.

Computational Statistics & Data Analysis

Big data represents a new scale and complexity that might be achieved by combining massive datasets and analysing them to extract insight for charities and social purpose organisations.

The Guardian

Expert writing Tips

Best practice

Pair the phrase with verbs like "analyze", "process", "mine" or "harness" to reflect typical technical workflows

Common error

Avoid using "massive datasets" as a direct synonym for the industry term big data. While big data refers to the broader phenomenon and the technologies used, "massive datasets" refers to the actual tangible objects (the collections of data) being studied.

Linguistic Context

The phrase "massive datasets" functions as a noun phrase, typically serving as the object of a verb (e.g. "processing "massive datasets"") or the subject of a sentence (e.g. ""massive datasets" pose unique challenges"). Ludwig AI confirms its status as a grammatically correct construction within professional and technical English.

Expression frequency: Very common

Frequent in

Science

45%

Academia

35%

News & Media

20%

Less common in

Social Media

5%

Wiki

3%

Informal & Personal

2%

Ludwig's WRAP-UP

The phrase "massive datasets" is a highly effective and grammatically correct term used primarily within the realms of computer science, data analysis and scientific research. According to Ludwig, the expression is "Very common" and enjoys a high degree of authority, particularly when used to describe the large-scale data structures that power modern AI and machine learning. Unlike more casual terms like "huge", "massive datasets" carries a technical weight that suggests the need for distributed computing and complex algorithms. Ludwig AI results demonstrate its versatility across elite academic institutions and global news media. When writing, remember to distinguish it from the abstract field of "big data" and reserve its use for contexts where the sheer volume of information is a central theme.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

huge datasets

Slightly less formal but conveys a similar sense of extreme scale

large datasets

A more neutral and common academic alternative that lacks the intensity of massive

vast datasets

Emphasizes the breadth and wide-ranging nature of the data

immense datasets

Highlights the overwhelming physical or digital size of the collections

voluminous datasets

Often used to describe data that is particularly large in terms of records or space

big data

Refers to the broader concept or field rather than the specific collections themselves

extensive datasets

Suggests that the data is broad and covers many variables or fields

colossal datasets

A more hyperbolic term used to describe data of truly unprecedented scale

substantial datasets

Implies a significant amount of data but suggests a smaller scale than massive

broad datasets

Focuses on the variety of the data points rather than just the volume

FAQs

What can I say instead of "massive datasets"?

Depending on the intensity you need, you can use "large datasets", "vast amounts of data" or "immense datasets".

Is "massive datasets" appropriate for formal research?

Yes, it is a standard term in computer science and statistics. According to Ludwig, it frequently appears in publications from Stanford and MIT to describe data that exceeds the capacity of standard software.

Should I use "massive datasets" or "massive data sets"?

Both are correct, but "massive datasets" (one word) is the more modern and widely accepted spelling in technical literature.

What is the difference between "massive datasets" and "huge datasets"?

The difference is minimal, though "huge datasets" is slightly more informal. "massive datasets" is preferred in scientific journals and formal technical reports.