Business intelligence

Task 2 (Worth 30 marks)
Research the relevant literature on how big data analytics capability can be in” rel=”nofollow”>incorporated in” rel=”nofollow”>into a data warehouse architecture. Note Chapter 2 Data Warehousin” rel=”nofollow”>ing and Chapter 6 Big Data and Analytics of
Sharda et al. 2014 Textbook will be particularly useful for answerin” rel=”nofollow”>ing some aspects of Task 2.

Task 2.1 Provide a high level data warehouse architecture design for a large stated owned water utility that in” rel=”nofollow”>incorporates big data capture, processin” rel=”nofollow”>ing, storage and presentation in” rel=”nofollow”>in a diagram called
Figure 1.1 Big Data Analytics and Data Warehouse Combin” rel=”nofollow”>ined.

Task 2.2 Describe and justify the main” rel=”nofollow”>in components of your proposed high level data warehouse architecture design with big data capability in” rel=”nofollow”>incorporated presented in” rel=”nofollow”>in Figure 1.1 with appropriate in” rel=”nofollow”>in
text referencin” rel=”nofollow”>ing support (about 600 words).

Task 2.3 Identify and discuss the key security privacy and ethical concerns for organisations within” rel=”nofollow”>in a specific in” rel=”nofollow”>industry that are already usin” rel=”nofollow”>ing a big data analytics and algorithmic approach to
decision makin” rel=”nofollow”>ing with appropriate in” rel=”nofollow”>in-text referencin” rel=”nofollow”>ing support (about 600 words).

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