Description Possible Marks and Wtg(%) Word Due Count Date Assignment 3 Written Practical 20 marks 9% Weighting 1000 23/05/19 Report The key frameworks and concepts covered in modules 1–10 are...

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Description Possible Marks and Wtg(%) Word Due Count Date Assignment 3 Written Practical 20 marks 9% Weighting 1000 23/05/19 Report The key frameworks and concepts covered in modules 1–10 are particularly relevant for this assignment. Assignment 3 relates to the specific course learning objectives 1, 2, 3 and 4: 1. apply knowledge of people, markets, finances, technology and management in a global context of business intelligence practice (data warehousing and big data architecture, data mining process, data visualisation and performance management) and resulting organisational change and understand how these apply to the implementation of business intelligence in organisation systems and business processes 2. identify and solve complex organisational problems creatively and practically through the use of business intelligence and critically reflect on how evidence based decision making and sustainable business performance management can effectively address real-world problems 3. comprehend and address complex ethical dilemmas that arise from evidence based decision making and business performance management 4. communicate effectively in a clear and concise manner in written report style for senior management with the correct and appropriate acknowledgment of the main ideas presented and discussed. Note carefully University policy on Academic Misconduct such as plagiarism, collusion and cheating. If any of these occur they will be found and dealt with by the USQ Academic Integrity Procedures. If proven, Academic Misconduct may result in failure of an individual assessment, the entire course or exclusion from a University program or programs. Assignment 3 Research the relevant literature on how big data analytics capability can be incorporated into a data warehouse architecture. Note Chapter 3 Data Warehousing and Chapter 7 Big Data Concepts and Tools of Sharda et al. 2018 Textbook will be particularly useful for answering some aspects of Task 2. You will also need to conduct some independent research on current knowledge and practice on how data analytics capability and more traditional data warehousing are being gradually merged and accommodated to accommodate a big data analytics capability for the organisation scenario outlined in Task 2.1. Task 2.1 Provide a high level data warehouse architecture design for a large stated owned water utility that incorporates big data capture, processing, storage and presentation in a diagram called Figure 1.1 Big Data Analytics and Data Warehouse Combined. Task 2.2 Describe and justify the main components of your proposed high level data warehouse architecture design with big data capability incorporated presented in Figure 1.1 with appropriate in-text referencing support (about 1250 words). Useful sites https://static1.squarespace.com/static/52d1b75de4b0ed895b7e7de9/t/59e3bd8464b05fe9e6bbe969/1508097416856/DesigningAModernDWandDataLake_MelissaCoates.pdf Following online article could be a useful reference source: Designing a Modern Data Warehouse + Data Lake You may find this online article on Big data architectures (has a Microsoft Azure slant) useful for Task 2 Report presentation writing style and referencing (worth 10 marks) Presentation: use of formatting, spacing, paragraphs, tables and diagrams, introduction, conclusion, table of contents Writing style: Use of English (Correct use of language and grammar. Also, is there evidence of spelling-checking and proofreading?) Referencing: Appropriate level of referencing in text where required, reference list provided, used Harvard Referencing Style correctly