Reference no: EM133517025 , Length: word count:5000

Learning outcome 1 Deconstruct complex business problems to apply data mining and warehousing solutions, data requirements and data models using relational databases;

Learning outcome 2 Design and critically reflect upon data warehousing architecture and multidimensional data models using internal and external business data:

Learning outcome 3 Implement online analytical processing (OLAP) in SQL and devise business intelligence reports using data warehouses and OLAP;

Learning outcome 4 Critically evaluate big data processing frameworks and technologies. contextualise the use of NoSQL technologies, implement and critically evaluate streaming methods in the big data processing.

ASSESSMENT STRUCTURE
In assessment 3, there is a case for providing a Group Research Report. Students need to read the case thoroughly and outline the format and sections of their research report.

The report should have a minimum of the below sections; however, each group may have extra sub-sections based on their methodology. The percentage in front of each section is showing the weight (importance) of each section during the assessment.

REPORT

To get started on your assessment task, please follow the below instructions.
1) Re-statement of Issue and Background
2) Current status and development objective
3) Solution: Design and Methodology: In this section, the students need to propose their solution for seven questions asked in instruction file
4) Conclusions and reflection

The following levels of criteria will be used to grade this assessment task

Criterion 1: Deconstruct and identify aspects of business problem
Criterion 2: Selection and application of solutions
Criterion 3: Critically evaluate big data processing frameworks and technologies
Criterion 4: Implement online analytical processing (OLAP) in SQL and devise business intelligence reports using data warehouses and OLAP
Criterion 5: Design and critically reflect upon data warehousing architecture and multidimensional data models using internal and external business data

For Data Mining: Report Format:
Coverpage, TOC, Executive Summary, Introduction, Case Background, Case Facts, Case Issues, Case Solutions (7solutions given in the case resource file), Discussion, Conclusion, References APA format. Etc

Presentation Format:
Intro, summary, case study introduction, existing case problems, proposed solutions (7), how the solutions will solve the problem, describe proposed solutions, problems and solutions in tabular format, etc.