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Big_Data_and_AWS.docx Big Data and AWS Grand Canyon University: ITT â 415 Amazon W

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Big_Data_and_AWS.docx    Big Data and AWS   Grand Canyon University: ITT – 415  Amazon Web Services (AWS) is a big data that is utilizing a large amount of data from Amazon company comparing to a regular database, it is not compatible due to the large size of storage it requires.  Big data requires volume, variety, and velocity to be able to operate and this helps Amazon services up and running. These three categories will help AWS, volume is responsible for the size of the data such as terabytes to petabytes. Variety manages the finance of the business and the social media platform. Velocitys role is to be dependent on business needs and able to meet the demands when users are doing their tasks. Amazon has steps to gather data, save them, handle, and examine them daily.             AWS has valuable services for Amazon, and they managed to install cloud computing such as Disney+. Online services like Netflix, Disney+, and Amazon have these ideas of how to economically save currency and able to earn money at the same time. With a large group of people, Amazon can offer services that can provide them price deals and faster integration to the cloud. Paraphrasing from Amazon, the AWS can provide services that include beneficial features, such as storage, databases to emerge, analytics, and the fastest artificial intelligence. (Amazon, 2020). This shows that AWS can provide a companys quick and efficient service to customers, which gives the idea of how people enjoy the companys that gives satisfacti

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[Solved] Big_Data_and_AWS.docx Big Data and AWS Grand Canyon University: ITT â 415 Amazon W

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Big_Data_and_AWS.docx Big Data and AWS Grand Canyon University: ITT – 415 Amazon Web Services (AWS) is a big data that is utilizing a large amount of data from Amazon company comparing to a regular database, it is not compatible due to the large size of storage it requires. Big data requires volume, variety, and velocity to be able to operate and this helps Amazon ...
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