Examples of using Big data in English and their translations into Marathi
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Category:"Big Data".
Big data(section 2.2).
It is known as big data.
Many big data systems are always-on;
This is known as Big Data.
Combinations with other parts of speech
Usage with adjectives
Usage with verbs
Big data sources tend to have ten characteristics;
Today, we have big data.
Big data does not only mean large datasets.
Detailed understanding of Big Data analytics.
Big data sources are both found and designed;
Be equipped to clear Big Data Hadoop Certification.
Big data sources can be loaded with junk and spam.
All of this digital information has come to be called“big data.”.
Big data sources do not mean the end of survey research.
Table 2.1: Studies of unexpected events using always-on big data sources.
Big data tend to be systematically biased in two main ways.
Table 2.3: Examples of natural experiments using big data sources.
Far from distinctive, many big data sources have information that is sensitive.
Measurement is much less likely to change behavior in big data sources.
Big data are created and collected by governments for purposes other than research.
Table 2.1: Studies of unexpected events using always-on big data sources.
First, increasingly corporate big data sources come from digital devices in the physical world.
The main contrast is that Hadoop developer works in a Big Data environment.
Finally, big data increases our ability to make causal estimates from observational data. .
Like natural experiments,matching is a design that also benefits from big data sources.
There is no pre-requisite to take this Big data training and to master Hadoop.
This Cloudera Hadoop training will prepare you to clear big data certification.
The most widely discussed feature of big data sources is that they are BIG. .
In the next section,I will describe ten common characteristics of big data sources.
Two approaches that especially benefit from big data sources are natural experiments and matching.