One of the problem in big data is the large amount of different data that needs to be processed. This includes social media activity, sensors, satellite imagery, video and audio files and many more. Which of the following conclusion can we best drawn out from this premise? * Because of the explosion of different data, cloud computing has already emerged as practice and no longer as a concept Because of the different data format, many new form of social network are created to handle many users.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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One of the problem in big data is the large amount of different data that
needs to be processed. This includes social media activity, sensors, satellite
imagery, video and audio files and many more. Which of the following
conclusion can we best drawn out from this premise? *
Because of the explosion of different data, cloud computing has already emerged as
practice and no longer as a concept
Because of the different data format, many new form of social network are created to
handle many users.
Because of the vast amount and different variety of data, using traditional model to
process this data is no longer applicable.
Because of the many different data nowadays we have lost touched with our physical
world and made have spent so much time in our social media
Transcribed Image Text:One of the problem in big data is the large amount of different data that needs to be processed. This includes social media activity, sensors, satellite imagery, video and audio files and many more. Which of the following conclusion can we best drawn out from this premise? * Because of the explosion of different data, cloud computing has already emerged as practice and no longer as a concept Because of the different data format, many new form of social network are created to handle many users. Because of the vast amount and different variety of data, using traditional model to process this data is no longer applicable. Because of the many different data nowadays we have lost touched with our physical world and made have spent so much time in our social media
Eimi created an application that automatically search your phone picture and
automatically tags the individual in that picture via IG stories. Because of this
Eimi instantly became a millionaire and his app instantly become a hit and
trending, however it came to his attention that his app is ban in China and it's
not certify by Google. This got him thinking what it's the problem, which of
the following can we best tell Eimi the reason for this? *
The reason why it is ban in china is because they don't have IG there they don't even
have facebook, they have Weibo
Using past data is way of manipulating customer and it is unethical
Eimi invades privacy of the user and maybe that is the reason why it is banned even
though normally downloading the app there is an end user license agreement.
Currently there are no unified platform much so a standard how to mine big data and
how can it be implemented or deployed.
Transcribed Image Text:Eimi created an application that automatically search your phone picture and automatically tags the individual in that picture via IG stories. Because of this Eimi instantly became a millionaire and his app instantly become a hit and trending, however it came to his attention that his app is ban in China and it's not certify by Google. This got him thinking what it's the problem, which of the following can we best tell Eimi the reason for this? * The reason why it is ban in china is because they don't have IG there they don't even have facebook, they have Weibo Using past data is way of manipulating customer and it is unethical Eimi invades privacy of the user and maybe that is the reason why it is banned even though normally downloading the app there is an end user license agreement. Currently there are no unified platform much so a standard how to mine big data and how can it be implemented or deployed.
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