Operational Data: Data quality is one of the key features of enterprise data management. The data obtained from the operational system is low quality data because of the following reasons: Obtaining the data from outside the organization. Redundant storage of data and inconsistent metadata. Problems while entering data due to poor interfaces, manual mistypes of data. The poor quality of the data is not recognized by the organization itself is an issue. Data warehouse: Data warehouse contains the collection of data that are used for decision making and business intelligence. It is a unique kind of database so it focuses on business intelligence, time variant data, and external data. It is a subject-oriented, integrated, time-variant, and non-updateable data.

Question

Suppose that the two Rank methods below are added to the Skip List class on Blackboard. public int Rank(T item) Returns the rank of the given item. public T Rank(int i) Returns the item with the given rank i. Requirements 1. Describe in a separate Design Document what additional data is needed and how that data is used to support an expected time complexity of O(log n) for each of the Rank methods. Show as well that the methods Insert and Remove can efficiently maintain this data as items are inserted and removed. (7 marks) 2. Re-implement the methods Insert and Remove of the Skip List class to maintain the augmented data in expected O(log n) time. Using the Contains method, ensure that added items are distinct. (6 marks) 3. Implement the two Rank methods. (8 marks) 4. Test your new methods thoroughly. Include your test cases and results in a Test Document. (4 marks)

Answer 1

Question

Chapter 13, Problem 7RQ

Program Plan Intro

Operational Data:

Data quality is one of the key features of enterprise data management.

The data obtained from the operational system is low quality data because of the following reasons:

Obtaining the data from outside the organization.

Redundant storage of data and inconsistent metadata.

Problems while entering data due to poor interfaces, manual mistypes of data.

The poor quality of the data is not recognized by the organization itself is an issue.

Data warehouse:

Data warehouse contains the collection of data that are used for decision making and business intelligence.

It is a unique kind of database so it focuses on business intelligence, time variant data, and external data.

It is a subject-oriented, integrated, time-variant, and non-updateable data.

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