Examples of using The big data in English and their translations into Korean
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Colloquial
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Ecclesiastic
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Ecclesiastic
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Programming
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Computer
The big data sources of today- and likely tomorrow- will tend to have 10 characteristics.
In this workshop, students will see the different uses of Machine Learning in the Big Data environment.
In the big data era, information is created and transferred, and expertise is often not where it used to be.
Many business people see a powerful approach for unlocking value in the big data that they have already collected.
The Big Data framework is comprised of distributed file systems,
The Big Data revolution is less about collecting more and more data. .
The big data sources of today-and likely tomorrow-will tend to have 10 characteristics.
which will solve the big data problem in the future.
Carefully consider whether the big data analytics to be undertaken actually requires the processing of personal data. .
In enriched asking(section 3.6.1), the big data source has a core measure of interest and the survey data builds the necessary context around it.
In amplified asking(section 3.6.2), the big data source does not have a core measure of interest, but it is used to amplify the survey data. .
Forensic technology in the big data era will require much more advanced level than now,
Now, we will take a leap forward to a differentiated ESANG exhibition platform by operating Domestic and International exhibition venues and entering the big data market.
The Big Data technology and services market represents a fast-growing, multibillion-dollar worldwide opportunity.
At his time at IBM Andrew led the Big Data Stampede initiative in the region, an IBM offering that helps IBM customers jump-start their big data projects quickly to deliver quick proof points and business value.
As a leader in the big data market, Pentaho understood how to consolidate disparate data types, and their integration
In many ways it is roughly where the big data movement was five years ago-consisting mainly of a buzzword that's not yet widely understood, whose implications companies are just beginning to grasp.
The Big Data and Analytics major at UCM provides focused knowledge and training to students so they can learn how to utilize a company's data and generate information for strategic decision making.