Question 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.
Please make your initial post (one page) and two response posts substantive.
Question 2 : The 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 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. Your paper should meet the following requirements:
- Be approximately four to six pages in length, not including the required cover page and reference page.
- Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
- Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook.
- Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
