Examples of using Online 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
Want to keep your online data secure?
Online data analysis during the experiment.
Access secure online data storage".
Online Data Collection System“ ES scrapper”.
Citrix offers an Online Data Processing Agreement.
Online data collection is done across the globe.
Now you are connected to your Project Online data.
Online data collection is insidious and continuous.
Meet India's requirements for online data management.
Online Data Storage- Free Online. .
CyberGhost offers more than online data privacy.
Accept the Online Data Processing Agreement electronically.
The first goal is to archive online data to offline media.
Online Data Entry(ODE) for direct carrier invoice input.
HDD ID used during the online data recovery training course.
The data are from the US market by 2002, andthen they are counted and online data[…].
Perform online data counting using rainflow and time-at-level.
Connect directly to your QuickBooks online data in Tableau 10.
Distribution of online data flows between different uses in 2018 in the world.
IBM is one of a number of companies offering online data warehouses.
Role as an online data joiner for analysis and prediction(beta phase).
Step 1: Create a connection to your Project Online data in Excel 2013.
Query almost any online data source and display the results in a meaningful way.
Simply put, PPTP security is extremely outdated by today's standards, and using this protocol to secure your online data is very risky.
The games are quite easy on the online data requirements, thus it requires no heavy downloads.
Get Data(on the ribbon) is used to connect to and query data from any listed online data source.
Easy online data protection and data recovery are two distinct features of SugarSync.
Internet Access: Required in order to use online data sources from the Wolfram Knowledgebase. Available Platforms.
This Online Data generally does not identify you to us personally and, typically, it is aggregated with other data to create segments- groups of users and certain general interest categories that we have inferred based on a variety of factors(for example,“sports fan”).
Efficient EDI processing,OCR scanning, Online Data Entry(ODE), manual data entry or custom electronic file processing.
