large-scale data

USAGE SUMMARY

The phrase "large-scale data" is correct and usable in written English.
You can use it to refer to a large collection of data. For example, "The analysis of the large-scale data indicated that the results were inconclusive."

✓ Grammatically correct

Academia

News & Media

Science

Human-verified examples from authoritative sources

Exact Expressions

41 human-written examples

Algorithmic and statistical aspects of modern large-scale data analysis.

Stanford University

"I love using the large-scale data to show statistical trends," she says.

The Guardian

Large-scale data gathering and analytics are quickly becoming a new frontier of competitive differentiation.

Harvard Business Review

Large-scale data on management has been virtually nonexistent, at least until recently.

Harvard Business Review

Bacardit, J. & Llorà, X. Large-scale data mining using genetics-based machine learning.

Nature

Hill, J. et al. Materials science with large-scale data and informatics: unlocking new opportunities.

Nature

Human-verified similar examples from authoritative sources

Similar Expressions

18 human-written examples

SciServer is a collaborative research environment for large-scale data-driven science.

Johns Hopkins University

A programming language and compiler for processing large scale data.

Cornell University

Getting good quality large scale data is the biggest barrier to adopting deep learning.

Harvard Business Review

Huttenhower, C. et al. Detailing regulatory networks through large scale data integration.

Nature

His focus areas include networks, large scale data analytics (big data), and digital products and services.

Yale University

Expert writing Tips

Best practice

Use "large-scale data" to emphasize the importance of considering a wide range of sources and data points for a comprehensive understanding.

Common error

Avoid drawing sweeping conclusions from "large-scale data" without acknowledging potential biases or limitations within the data itself.

Linguistic Context

The phrase "large-scale data" functions primarily as a noun phrase acting as the object of a verb or the subject of a discussion. Ludwig examples show its use in contexts requiring analysis, collection, or processing, confirming its role in representing substantial amounts of information.

Expression frequency: Very common

Frequent in

Academia

31%

News & Media

45%

Science

24%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "large-scale data" is a frequently used and grammatically correct phrase that signifies a substantial amount of information, often requiring specialized tools and techniques for analysis. As highlighted by Ludwig, the phrase is versatile, appearing in academic research, news reports, and business contexts. While alternatives like "big data" or "extensive data" exist, "large-scale data" effectively conveys the scope and importance of the dataset. Effective use involves careful analysis and acknowledgement of potential biases, while common errors include overgeneralizing conclusions without considering data limitations. Ultimately, understanding and utilizing "large-scale data" properly are crucial in today's information-driven world.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

extensive data

Replaces "large-scale" with "extensive", emphasizing the comprehensiveness of the data.

big data

A common synonym emphasizing the volume and complexity of the data.

comprehensive data

Highlights the thoroughness and completeness of the data.

vast amounts of data

Focuses on the sheer quantity of information.

massive data sets

Emphasizes the size of the data collections.

broad data sets

Indicates a wide range and scope of data.

widespread data

Implies data collected from numerous sources or locations.

extensive datasets

Focuses on the comprehensiveness of the datasets.

substantial data

Highlights the significant quantity and importance of the data.

major data

Emphasizes the importance and scale of the data.

FAQs

How can "large-scale data" be used effectively?

"Large-scale data" can be used effectively by applying appropriate analytical tools, ensuring data quality, and interpreting results within their specific context. It's also important to protect privacy when dealing with extensive datasets.

What are some alternatives to using the term "large-scale data"?

You can use alternatives like "extensive data", "big data", or "comprehensive data" depending on the context.

What are the challenges of working with "large-scale data"?

Challenges include managing data volume, ensuring data quality, processing complexity, and addressing ethical considerations like privacy and security. It also requires specialized tools and expertise.

Is "large-scale data" the same as "big data"?

While similar, "large-scale data" generally refers to extensive datasets, while "big data" specifically implies data that is high-volume, high-velocity, and high-variety, requiring advanced processing techniques.