Examples of using Data has in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
The data has varied.
If too much data has.
Data has an economic value.
Backups are necessary because data has value.
How much data has Google collected?
People also translate
Damage to said networks, computers, and data has ensued.
What data has the government accessed?
Using a DBMS to manage data has many advantages.
No data has been collected for this survey.
However, one unfortunate reality is, big data has lots of enemies.
Structured data has a very important role.
The term"chart" as a visual representation of data has multiple meanings.
Structured Data has a profound role to play.
This leak represents a potentially severe threat to those whose data has been exposed.
Data has been described as the new gold mine.
So we are able to say that large data has a major role in machine learning.
Data has become a thing and online, information is master.
Cloud Hosting is reliable as data has triple redundancy as a result of mirroring.
Data has changed into a asset and online, information is master.
Document and drive usage now that the data has been enriched and becomes more meaningful.
Big data has the potential to revolutionize entire industries across the globe.
We are in the process of notifying users whose data has been compromised," Quora CEO Adam D'Angelo said in a blog post.
The data has keywords and is showing up in the dock, but there is no option in the“might” list?
Then a dialogue box appears that tells the user the data has been locked and demands a ransom to unlock it again.
The data has keywords defined, but it is not showing up in the dock as an option for_project_name_ analysis?
Then click OK, and the data has been sorted by the last name. See screenshots.
Since the data has headers, select My table has headers in the Create Table window that appears, as shown here.
How much data has Google Maps accumulated?
If the data has a unit source, the value tends to fluctuate around the average value so that it is difficult to estimate the model.
Big data has a very large amount of data so in the data processing process that requires large storage and more specific analysis is needed.