Ví dụ về việc sử dụng Smart data trong Tiếng anh và bản dịch của chúng sang Tiếng việt
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Smart Data Recovery is very easy to use.
Are you interested in technology and smart data?
How is Smart Data being applied to FinTech?
How do I turn big data into smart data?
Nevertheless, Smart Data Recovery Serial is very easy to use, even by beginners.
How can you turn big data into smart data?
Smart data structures and dumb code works alot better than the other way around.-- Eric S.
Transform the world towards the smart data instead of wasting money to handle the garbage[Big Data]. .
May be hardware device keep it in its unconsciousness andcan use it if needed to generate the smart data.
Smart Data Recovery is a tool that lets you retrieve files and folder which were previously deleted from your system.
In simple words, fit a human brain insidetelescope that will transform big data to smart data.
Smart Data works the way you need it to by providing customisable templates, advanced filtering options and standardised reports.
The effect of gravitational wave is so minuscule and easily confused with random noise,you need a smart data analysis technique.
The dataTaker DT85W is a smart data logger that provides an extensive array of features that allow it to be used across a wide variety of applications.
ENSAI is Taking advantage of ict accreditation renewal to revamp the Master of Science in BigData program to shift focus to icts Smart Data.
As planned, the building will be a smart data center, displaying information technology products, a reception area, a hall and a meeting room.
ENSAI is Taking advantage of ict accreditation renewal to revamp the Master of Science in BigData program to shift focus to icts Smart Data.
However, Smart Data Recovery didn't always find the files we were looking for, even if they had been deleted just a few seconds before to test the program.
Using big data for healthcare is gaining grounds in the USA while Europeis still in the midway to successfully implement the smart data analytics solutions.
Smart data gathering, powered by intelligent computer systems, is already making changes to how colleges interact with prospective and current students.
As 5G is a virtualised environment, this should be carried out using software-based orvirtual probes using smart data technology to provide visibility into the performance of individual applications and services.
Laced with features like smart data, predictive analysis and real time response, the CRM has, over the past few years, transformed into one of the single most reliable and accurate system to drive growth.
Those key features include- but are not limited to- workflow and data tracking support,flexible architecture, and smart data exchange interfaces, which fully"support its use in regulated environments.
Digitalisation and intelligent factory networking also facilitate new functions such as process monitoring or predictive maintenance,which go one step further with self-learning machines based on smart data and data analysis.
During the flights, pilots checked aircraft performances, smart data management system, operation of on-board systems, including armament at high temperatures, complicated underlying surface and other factors.
Online sales in the United Kingdom have doubled in just five years, banks are using machine learning to better understand customer needs,and manufacturers are using smart data to adapt their production lines.
He shows how a combination of unexpected questions and smart data crunching can produce strangely useful insights, and shares tips on how to release large sets of data so that anyone can use them.
Smart data is generated by filtering out the noise from bigdata that's generated by media, business transactions, Internet of Things(IoT), and data exhausts from online activity.
Bridging that gap, and achieving pervasive real-time visibility of a network,requires smart data- data that is prepared and organised at the collection point such that it is ready and optimised for analytics at the highest quality and speed.
Smart Data focuses on revealing the Value and Veracity of the Volume, Variety, and Velocity of Big Data to meet the vital challenge of identifying relevant and valuable information among the plethora of data available…[-].