Examples of using Large data sets in English and their translations into Korean
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K-means cluster is a method to quickly cluster large data sets.
Decrease the noise from diverse and large data sets by detecting and resolving data anomalies sooner.
Or do you need high resolution three-dimensional images of large data sets?
Large data sets require the high level of security associated with data processing, transferring and storage.
Collaborative filtering applications typically involve very large data sets.
During the initial phase of the project, we realized that large data sets were being stored in many other systems in addition to HDFS.
Use MicroStrategy to perform predictive analytics on large data sets.
But that task may seem daunting, especially when you have large data sets and many possible behavioral or demographic predictors.
Modern-day sports betting is built on complex models and large data sets.
In these applications, very large data sets must be accessed in real-time across clusters of machines that can span hundreds of nodes.
You can also quickly and easily analyze very large data sets using fast pivot tables with up to 256 million records and over 2,000 columns.
A sophisticated storage technology provides fast access times for large data sets.
To ensure that your app can scale to large data sets, reduce this setting down to 1.
Multiple devices and data sets can be merged to create large data sets.
JMP allows engineers to analyze and manipulate extremely large data sets, perform experimental designs on new products, and present findings clearly and concisely.
As the"genomics guy" in the group,Jackson must tackle large data sets every day.
This widget helps simplify the display and handling of large data sets by allowing the layout manager to determine when to reuse(recycle) item views that are no longer visible to the user.
Students report that campus recruiters are asking more questions about their ability to work with large data sets.
Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule.
Stage 2(Notation): Once infection occurs, however, they will become acutely aware of random trends in large data sets.
Editing a query before loading is especially useful when working with large data sets that you intend to pare down before loading.
The 42 platform combines the power of databases and the usability of consumer websites to effectively analyze large data sets.
Notable here are, for example, the oil and gas industry, which has, for decades now,run very large data sets through high-performance computing(HPC) systems to model underground reserves from seismic data. .
One of the key features that sets Katana apart is its ability to handle extremely large data sets,” he tells us.
Informatica Cloud enables you to easily derive actionable insights out of your large data sets by connecting the Microsoft Azure SQL Data Warehouse to any cloud or on-premise application.
We listen to customer needs and deliver innovative technologies that make it easier to find insights in large data sets.
The study titled"A robust data-driven approach identifies four personality types across four large data sets" was published in the journal Nature Human Behaviour on Sept. 17.
Language isn't as important here, but most companies are using Python, Scala, orJava when building/processing large data sets.”.
They will need the ability to handle relatively large data sets and handle them quickly, but may not need quite the same response times as those organisations that use it push adverts out to users over response times of a few seconds.