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1. Several Big Data Visualization tools have been evaluated in this weeks paper. While the focus was primarily on R and Python with GUI tools, new tools are being introduced every day. Compare and

1.  Several Big Data Visualization tools have been evaluated in this weeks paper.  While the focus was primarily on R and Python with GUI tools, new tools are being introduced every day.  Compare and contrast the use of R vs Python and identify the pros and cons of each. Provide an example of both programming languages with coding examples as well as your experience in using one or both programming languages in professional or personal work. If you have no experience with either language, please discuss how you foresee using either/both of these languages in visualizing data when analyzing big data.  --- (300 -  400 words min)

2. This week's article provided a case study approach which highlights how businesses have integrated Big Data Analytics with their Business Intelligence to gain dominance within their respective industry.  Search the UC Library and/or Google Scholar for a "Fortune 1000" company that has been successful in this integration. Discuss the company, its approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence. ( 600  words min ) 

***  No Plagiarism *****

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