Sentence examples for a massive volume of data from inspiring English sources
The phrase "a massive volume of data" is correct and usable in written English.
It can be used when discussing large amounts of information, particularly in contexts like data analysis, research, or technology.
Example: "The new software can process a massive volume of data in just a few minutes, making it highly efficient for our needs."
Alternatives: "a large amount of data" or "an extensive dataset".
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.
A hashtag, a keyword prefixed with a hash symbol, is a feature in Twitter to organize tweets and facilitate effective search among a massive volume of data.
MapReduce is a simple, scalable and fault-tolerant data processing framework that enables us to process a massive volume of data.
Based on the experimental observation made by Medeiros [4], it was found that there is a massive volume of data being shared among 32 millions of user, especially from the Internet-based video.
He did say that Google has the natural advantage of having already released a product that gives it a massive volume of data, but ultimately it will come down to what Apple builds and who they partner with.
Foresights have derived their current, often implicit, methodologies from a range of disciplines and practices, embracing a variety of episteme, and as they increase world-wide, they produce a massive volume of information and data on the future.
The rise of Big Data has resulted in the accumulation of a massive volume of visual data which requires proper and fast analysis.
How to maintain a massive volume of educational transaction data and integrate blockchain technology into the existing educational tools and systems?
Returning to the surface then takes a further two hours, while downloading the massive volume of data recorded will fill a further 16 hours.
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.
