Examples of using Data might in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
This data might scare you.
Otherwise, your data might lose.
This data might not be final.
When system crashes data might be lost.
The data might be correct though.
Ethnically disaggregated data might be an important tool.
Big data might help resolve this.
Give an example of what this data might represent.
I believe my data might have been kind of old.
However, some proprietary or sensitive corporate data might be kept confidential.
Other data might be used to analyse user behaviour.
But last month, journalists said the data might not have been deleted after all.
Data might be stored in different types of databases.
Otherwise data might be lost.
This data might end up in the hands of a bounty hunter, searching for a fugitive who skipped bail, or with more nefarious characters.
Second, overall national data might not be applicable to all states.
The data might contain suspect records and may not even be validated.
A large standard deviation can indicate that adding more data might help you improve the model.
So the volume data might be misleading again there.
But this data might be less meaningful without a wider context, since not all data that influence prices are on the blockchain.
Certain activity and sleep data might be regarded as"health related data" in certain jurisdictions.
Of your data might be stored in Kudu, some in a traditional RDBMS, and some in files in HDFS.
For example, analysing both monitoring and process data might reveal that slowing a machine down by 3% would extend the maintenance period by four weeks.
For example, the data might be presented in bar graphs, requiring a lot of time to extract actual numbers that we could analyze.
As is well known, digital data might be infinitely reproduced- and distributed widely thanks to the web.
The model and the data might need to be updated or modified often as the learning takes place or as the situation being modeled changes.
As is well known, digital data might be infinitely reproduced- and distributed widely thanks to the web.
Product performance data might include errors that occur and measurements, such as virtual machine suspend and resume times, uptime, or application startup time.
Your personal data might be passed on to affiliated companies or third parties.
For example, SCADA data might indicate anomalous equipment activity such as rising pressure or a decrease in temperature.
