Big Data

No AI tools must be used. If I find them using then I will ask for refund. Write questions in different document and API format is must and should.  for more work plz contact me.  Thanks

Big Data Analytics

Visit the Google Scholar,  and locate an interesting topic on one of the concepts we discussed this semester related to Data Analytics and Big Data Analytics.Here are some pointers that will help critically evaluate and share some viable topics.     Is the topic attainable for a first-time dissertation student?     Is the problem rooted in … Read more

Big Data Analytics and Business Intelligence in a Fortune 1000 Company Literature Review

 We have discussed 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. Conduct a literature review of big data analytics with business intelligence within the Fortune 1000 company you researched. In your literature review, … Read more

Big data analytics

Q1. Excel is probably the most popular spreadsheet software for PCs. Why? What can we do with this package that makes it so attractive for modeling efforts? Q2. What are the common business problems addressed by Big Data analytics?  In the era of Big Data, are we about to witness the end of data warehousing? … Read more

Big Data Analytics and Business Intelligence in a Fortune 1000 Company Literature Review

Search Google Scholar for a “Fortune 1000” company that has been successful in this integration.  Conduct a literature review of big data analytics with business intelligence within the Fortune 1000 company you researched. In your literature review, you will include details about the Fortune 1000 company you researched, including its approach to big data analytics with … Read more

Unit 5 IP (4 Pages)

  Parsimony in statistical modeling is often discussed in terms of Occam’s razor in the formulation of hypotheses. Address the following: Discuss the issues of overfitting versus using parsimony and how this is particularly important in big data analysis. Is overfitting more of a problem in the generalized least squares model? Discuss some hierarchical methods … Read more