Examples of using Large volumes of data in English and their translations into Vietnamese
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The international alliance is designed to make large volumes of data easier to use, especially for enterprise users in financial services,
This relational model is an ideal way to sort through large volumes of data, as it can be queried in an almost unlimited number of ways.
power industry, oil and gas, logistics and other industries operating large volumes of data that can be linked to a map.
After completing your studies, you will be able to manage large volumes of data, make sound inferences from data, and build data-driven models
allows large volumes of data to be reliably stored
Pivot Table Slicers help you discover patterns in large volumes of data, and Recommended Charts gives you the best charts to communicate your data. .
The rise of the web as a platform also created a vital factor change in data storage as the need to support large volumes of data by running on clusters.
inefficient manner due to the large volumes of data required to analyze.
Large volumes of data are generated by intelligent field devices
Spark borrows some of the best ideas of Hadoop's approach to extracting meaning from large volumes of data and updates them with a few solid improvements that make the code run much, much faster.
make blockchains more feasible for businesses and enterprises that work with large volumes of data, bringing the technology into the mainstream.
When used in combination, there simply isn't a better way to construct sites that involve complexity, large volumes of data, and the flexibility to make adjustments and changes over time.
and disseminate large volumes of data cost effectively
will equip you with cross-disciplinary skills to capture, process and interpret large volumes of data and communicate the valuable information to the intended audience.
You must also be able to analyse and interpret large volumes of data, and communicate your research and findings in a clear and concise manner- either in written reports or presentations.
But the fact that large volumes of data are traveling outbound from a customer environment to a vendor without the customer's knowledge or consent is problematic."®.
Whether it is running high end enterprise applications or storing large volumes of data, companies look for ways to implement newer technologies that help them to scale faster.
information in suitable soils, delivering large volumes of data to internationally recognised formats at lower cost and with less impact than alternative methods.
more targeted lists, but it's easy to make mistakes when working manually with large volumes of data.
inexpensive way to capture large volumes of data.