big data-w31
Kimmy
BigData-week3-sspost.docx1) In the world of Big Data, there is a multitude of data cleaning processes that can be implemented when manipulating the data. The article "Data Cleansing: An Omission from Data Analytics Coursework", discusses the 80/20 rule, as it pertains to a data analyst's job function. After reading the article, select one of the data analyst's responsibilities and explain which portion of the 80/20 rule the responsibility falls under. As the data analyst, what processes could be incorporated to improve the time spent on the responsibility you selected.
Your paper should be a minimum of four pages, not including the cover page and reference page. The font is Times New Roman, font size should be 12, and the paragraphs are double-spaced. There should be a minimum of three references supporting your observations. Citations and references are to follow APA 7.0.
Essential Activities:
Complete the week's readings prior to writing this paper.
Notes:
1. Please refer to the rubric on the course information tab for this assignment. 2. Each week to earn full points, make sure to include outside sources to support your discussion. 3. All work is to be original.
2) In the world of Big Data, there is a multitude of data cleaning tools that can be implemented when cleaning the data. The article "A Comparative Study of Data Cleaning Tools", discusses four different data cleaning tools. After reading the article, select one of the data cleaning tools, and expand on the findings of the authors. As the subject matter expert (SME), you will be required to take in information and decipher the information for management.
Your paper should be a minimum of four pages, not including the cover page and reference page. The font is Times New Roman, font size should be 12, and the paragraphs are double-spaced. There should be a minimum of three references supporting your observations. Citations and references are to follow APA 7.0.
Essential Activities:
Complete the week's readings prior to writing this paper.
Notes:
1. Please refer to the rubric on the course information tab for this assignment. 2. The assignment is due by Sunday at 11:59 pm (EST). 3. Each week to earn full points, make sure to include outside sources to support your paper. 4. All work is to be original.
