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Write an essay of at least 500 words discussing the reasons for the two new auditing roles in Oracle 12c. Why did Oracle consider them necessary?
Describe how information systems have changed the way businesses operate and their products and services.
What is knowledge discovery in databases (KDD)? How data mining integrates with the components of statistics and AL, ML, and Pattern Recognition.
What are four differences between descriptive and Predictive categories of Data Mining? Provide your response in no less than 250 words.
What are the common business problems addressed by Big Data analytics? In the era of Big Data, are we about to witness the end of data warehousing? Why?
Discuss the data visualization in the attached file below (Data Visualization Example) and mention what was right and what did not work?
What are the strategic and technical security measures for good database security?
Examine the physical properties (type, size, condition) of your dataset, noting down useful observations or descriptions where relevant.
Why is it so important to know your data? Discuss some methods you would implement to better learn and understand your data.
You should identify a data visualization problem and a corresponding data set. You're responsible for building a project plan for a company.
What could you do/would you need to do to clean or modify the existing data to create new values to work with?
Discuss the advantages and disadvantages of using sampling to reduce the number of data objects that need to be displayed.
When replying to a classmate, offer your opinion on what they posted as the important advantage of each technique.
Create Indexes for Natural, Foreign Key, and Frequently Queried Columns.
Describe the database concepts of View-based access control, Polyinstantiation, Data warehousing and data mining, and Online Transaction Processing (OLTP)?
Discuss the conditions necessary for a deadlock to occur. If given the option of removing one condition to prevent deadlock which condition would you eliminate?
Discuss what are the minimum and maximum values of the components of the mean? What is the interpretation of components of the cluster mean?
Why make visualizations? List a few advantages and disadvantages (at least 2 for each) of using visualizations to communicate data.
Elaborate on how the knowledge and skills of Data Mining could be helpful in Real Life Work Environment.
Describe the change in the time complexity of K-means as the number of clusters to be found increases.
Explain in 500 words or more what NIST is and how it should be used by a DBA.
Discuss what is the time and space complexity of fuzzy c-means? Of SOM? How do these complexities compare to those of K-means?
Analyze what is the interpretation of components of the cluster mean? Which components most accurately characterize the objects in the cluster?
Write one page on how data mining helps to gain competitive advantage for businesses. Include at least 2 references and in-text citation.
Discuss the basic concepts and algorithms of Association Analysis in Data Mining. Discuss possible applications, strengths and weaknesses of Apriori Principle.