Examples of using When data in English and their translations into Chinese
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Ecclesiastic
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Programming
When data is needed by.
The shock with public clouds occur when data needs to be removed.
Classification when data are available for the complete mixture.
The shock with public clouds often occurs when data needs to be removed.
This is used when data can be fetched sequentially.
People also translate
When data movement is required, DMS ensures the right data gets to the right location.
With the DSL, you can control lower-level operations(e.g., when data is shuffled) and have access to intermediate data. .
When data are skewed, the majority of the data are located on the high or low side of the graph.
This situation of multicollinearity can arise, for example, when data are collected without an experimental design.
When data are skewed, the majority of the data are located on the high or low side of the graph.
Lower Latency-Reduced latency means there are shorter or no delay times when data is sent(very similar to ping rate and other such measurements).
When data is written or updated and Success is returned, all copies of the data are updated.
In the next 90 days, when data usage falls to a few times a month, it is defined as COLD data. .
When data is scarce and can be manually characterized, SVM/ kernel methods, tree models, etc. are better for use.
Actually if any drive fails when data is being written, the computer's operating system attempt to write the data elsewhere.
When data come from several sources or conditions, such as shifts, days of the week, suppliers or population groups.
This process is reversed when data is sent back from Earth to ISS and the operation is performed with less than a one-second delay.
And when data drives your marketing, the average return on investment(ROI) is a whopping 224%!….
When data is added to the JSON tree, it becomes a node in the existing JSON structure with an associated key.
When data arrives at one port, it is copied to the other ports so that all segments of the LAN can see the data. .
When data is processed closer to the edge of a network, organizations can analyze the data at a much faster, real-time pace.
When data and analysis are cleanly separated, different teams can focus on independently improving each aspect, leading to faster progress.
When data reaches the edge of the enterprise, it stops and waits for a person to convert the data from digital into analog format.
When data is safe and uncompromised, facility owners and managers can trust that their data-based decisions are accurate and informed.
When data follow a normal distribution, the mean indicates where the center of that distribution is, and the standard deviation reveals the spread.
When data centers prove they have top-notch security and comply with all applicable laws, those advantages remove burdens from retailers.
When data is stored off-site in the Cloud, employees, vendors and visitors are physically separated from a company's mission-critical data. .
When data is made publicly available on AWS, anyone can analyze any volume of data without needing to download or store it themselves.
When data is used to help individuals adapt to the technology-led economy, it can make a huge contribution toward ending extreme poverty and inequality.
When data were scattered, the process of completing the self-assessment checklist provided an excellent opportunity to develop a more sustainable data collection system.