Summarizes MapReduce Concept and Hadoop MapReduce Architecture - IT Assignment Help

Assignment Task:

Task:

Homework Assignment 7
Homework Assignment 7Write a two-page paper that

• summarizes MapReduce concept and Hadoop MapReduce architecture
• summarizes Spark RDD concept, and Spark modules including Spark SQL, Spark Streaming, MLlib, and GraphXdiscusses real-world projects that use MapReduce, and use Spark. List at least 2 projects for MapReduce, and 2 for Spark
• Additional paper requirements:
• The content of the paper will be equivalent to a minimum of two pages (1000 words). 
• Divide your paper in sections and use an appropriate heading for each section.
• The content of the paper must demonstrate understanding of the topic via citations of the reference sources.
• References used to develop your understanding of the topic should be appropriately cited within these content pages using APA in-text citation formats. 
• Use as few quotes as possible. Your paper should include at most 10 percent quoted material.
• Each page must have a header. The header should contain the page number and your name.
• The reference page in APA style/format should be a separate page in your research paper. 
• The reference page must include at least five references relevant to the discussed topics (minimum).
• At least three different reference types required – web sites, papers, books, journals, magazines, newspapers, interviews, etc.  
• For electronic references, you must include the URL as an active link to the source/database and the date you visited the page. 
• Note: If you need help on the APA style, please feel free to review the following tutorial or check the Online Writing Lab (OWL) at Purdue for APA style information
• Submission Instructions:
• Write your solutions in a MS Word file, type your name and course number in that file, and submit it through the Homework Assignment submission link below. Your paper will be checked in SafeAssign for originality.

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