Learning objectives The key frameworks and concepts covered in modules 1–6 are particularly relevant for this assignment. Assignment 2 relates to the course learning objectives 1, 2 and 4: 1....

Learning objectives
The key frameworks and concepts covered in modules 1–6 are particularly relevant for this assignment. Assignment 2 relates to the course learning objectives 1, 2 and 4:
1. demonstrate applied knowledge of people, markets, finances, technology and management in a global context of business intelligence practice (data warehouse design, data mining process, data visualisation and performance management) and resulting organisational change and how these apply to 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
4. demonstrate the ability to communicate effectively in a clear and concise manner in written report style for senior management with correct and appropriate acknowledgment of main ideas presented and discussed.
Task 1 Data Management Architectures (Worth 30 Marks)
For Task 1 you are required to conduct a critical literature review of the related concepts of data warehouses, data lakes and data marts in order to complete two sub tasks.
Task 1.1) Define and discuss the concepts of (1) a data warehouse, (2) a data lake and (3) a data mart drawing relevant and reputable literature (about 500 words).
Task 1.2) Explain how a data warehouse, a data lake and a data mart would be used in an organization and in your answer provide some real world examples of how each would be used in an organization (about 500 words).
Task 2 Exploratory Data Analysis and Linear Regression Analysis (Worth 40 Marks)
For Task 2 consider a set of observations on a large number of white wine varieties involving their chemical properties and ranking by wine tasters contained in white-wines.csv data set. Wine industry has been growing steadily as social drinking of wine is on the rise. The price of a wine largely depends on wine appreciation by wine tasters which may have a high degree of variability. Another key factor in wine certification and quality assessment is physicochemical tests which are laboratory-based and take into account factors like acidity, pH level, presence of sugar and other chemical properties.