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The phrase "and a huge data" is not correct in standard written English.
The correct term should be "a huge amount of data" or "huge data" depending on the context.
Example: "The research project requires a huge amount of data to draw accurate conclusions."
Alternatives: "a large dataset" or "a vast amount of data."
Exact(3)
The Sony Corporation, reeling from Japan's biggest earthquake and a huge data breach, cut the pay of its chairman, Howard Stringer, and his probable successor.
The satellite has been successfully operated over more than 20 years and a huge data base has been built.
The technology leverages deep learning methodologies and a huge data repository to map images and videos of faces to a read the emotions expressed in the face.
Similar(57)
"We look at the general profile, such as 'Single woman in her 30s living in California', and parse it though a huge data map for Amazon that we call 'The Matrix'," explains Giftri founder Søren Beck Jensen.
The second analysis covers the period 1966-2006 and it is instead based on a huge data collection effort on detailed export taxes and import tariffs, at a high level of disaggregation (8 digits).
For these new forms of computing to work well, the different layers must be closely intertwined.Apple, whose products have always been more integrated, is building a huge data centre and also offering web-based services.
While metric methods produce accurate environment representations, these representations present a huge data volume and they are consequently difficult to process in real time.
"These folks have outgrown their off-the-shelf tools, but they're scared of figuring out how to put together a huge data team and work with huge pieces of infrastructure.
At the same time, being part of a larger organization with a huge data set and ability to serve multiple channels gives regional players an upper hand, particularly as they look to win over new customers and upsell existing customers.
But MyEdu has the benefit of building its new profile and recruiting options on top of a huge data set that already contains one of the larger repositories of course and grade history out there — something that differentiates it from its competitors and gives it a big proprietary advantage over its competitors.
This is a huge data set and considerable amount of work to do in a meaningful way.
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