write 500 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and...

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write 500 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.


For this Discussion Board, please complete the following:



With the advent of large volumes of data, a new programming model was required to operate in near real time. Google pioneered the use ofMapReduceas it was implemented within the Google File System. Although MapReduce was new, it was based on the tried and true approach of using key-value programming. For this assignment, do the following:



  • In your opinion, what are the top two advantages of using MapReduce in big data analytics?

  • Can you provide an example of how MapRedcue enables sequential programming on a computing cluster?



Answered 3 days AfterSep 06, 2022

Answer To: write 500 words that respond to the following questions with your thoughts, ideas, and comments....

Neha answered on Sep 09 2022
69 Votes
Advantages of MapReduce
Scalability
The hadoop is known for its scalability. It is largely accepted because it
has the ability for storing and also distributing the large sized data sets across multiple servers. All these servers can be inexpensive and they might be operating in parallel. With every new server its add more processing power. It has highly scalable structure which shows that it comes as a very cost effective solution for the organization which have large data set to be stored and this data will keep on growing as per the current requirements. The scale out architecture of hadoop along with the map reduce programming helps to store and process the data in affordable manner. It can be used in future aspect as well. It help in cost savings and the cost can be reduced from thousands to hundreds for every terabyte of the stored data.
Parallel Processing with security
The hadoop uses distributed file system for storing the data. This implements a mapping system for locatging data in cluster. Map Reduce programming tool is used for data processing and it is present in same servers so that we can have...
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