Using academic databases such as the ACM database, IEEE database, INFORMS database, Elsevier database, or Google Scholar, locate relevant, current, and academic sources covering data warehouses and data mining. Topics can include the fundamentals of data warehousing architecture, planning, designing, building, populating and maintaining a successful data warehouse. Data mining topics include how data mining relates to data warehousing, extract-transform-load processing and use of multi-dimensional analysis using OLAP techniques.
The sources should be academically credible and not include popular literature sources. Your source should be peer reviewed publications from journals in the field of study, conference proceedings, or other scholarly events.
Write a two- to three-page double spaced paper divided into two parts: the summary of the article and your views on it.