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Identify two other chart types that could show something about your subject matter, though maybe not confined to the data you are looking at.
In 500 words or more, explain PCI compliance to the database administrator at a large retailer. Consider the consequences for non-compliance.
What is the premise of the use case and findings? What type of tools are used in the data mining aspect of the use case and how are they used?
Discuss at least three of the database processing models identifying each of their respective advantages and disadvantages.
What is the basic mathematical concept behind simple linear regression? What is extrapolation and why should it be used with caution?
Explain how to use Jupyter Notebook for Big Data visualization. Provide a Jupyter Notebook file with an example.
Assuming that the support threshold is 30%, how many candidate and frequent itemsets will be generated?
Describe the dataset; its main features, labels, clusters, and usage. From your point of view, what is the best number of clusters and why?
Describe various ways that knowledge management systems could help firms with sales and marketing or with manufacturing and production.
Discuss successful information security program, such as risk assessment, systems testing, policy, and planning
Identify a chart type that could be used to display different editorial perspectives of your dataset and explain why you felt it to be appropriate.
Discuss the importance of top management commitment and the development of standards for successful project management.
Discuss one of the mentioned shortcomings. Then discuss what we have learned in this course that can assist with overcoming your selected shortcoming.
What is the association rule in data mining? How does the association rule allow for more advanced data interpretation?
What are the key features for each of these database platforms? What are differentiators compared to other database platforms in its like-kind class?
What is the association rule in data mining? Why is the association rule especially important in big data analysis?
List the three main approaches to database programming. What are the advantages and disadvantages of each approach?
Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
Create a plot of interest rates and Grade or a loan and describe the pattern. Create a regional map and show an interesting relationship of your liking.
Pick one of the four concepts below and then identify the benefits and challenges associated with that concept.
Write an essay of at least 500 words discuss the risk and costs of compromised data integrity breaches. Focus on integrity not confidentiality.
Describe appropriate visualization techniques for each prediction, classification, time series forecasting, and unsupervised learning.