October 9, 2022

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 […]
October 6, 2022

Paper #1 and Paper #2: Critique a paper

– Read below two papers and critique those two papers Format: – Times Roman Font: Size 12, Single Space – Title of the paper(Critique of the […]
October 4, 2022

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” […]
September 26, 2022

Discussion – Big Data / 500+ words/12 hours/No plagiarism

 The rising importance of big-data computing stems from advances in many different technologies. Some of these include: Sensors Computer networks Data storage Cluster computer systems Cloud […]
September 19, 2022

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 […]
September 1, 2022

Big Data in Smart Cities Literature Review

Conduct a literature review of big data handling approaches in smart cities including techniques, algorithms, and architectures.You are to review the literature on smart cities and […]
August 11, 2022

Distributed Hadoop Mapreduce – Course recommendation

Title: Design and develop a Distributed Recommendation System on Hadoop Problem statement:   Given 2 CSV data sets:  (a) A course dataset containing details of courses offered […]
August 11, 2022

Deliverable 5 – Big Data Presentation

  Scenario Big data is the hot topic of the company you work for. With the majority of the world’s data being created in the last […]
June 23, 2022

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 […]
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