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Explain the major components of a data warehouse architecture, including the various forms of data transformations needed to prepare data for a data warehouse.
What ideas do you have for potentially making it usefully interactive? How might you approach the design if it had to work on both mobile/tablet and desktop?
Think about the role you played in creating a presentation or working on a project using data visualizations.
Explain what an anomaly is and how to avoid it. Discuss methods to avoid false discoveries.
How does data and classifying data impact data mining? What is association in data mining?
How can encryption be used to ensure integrity and maintain data privacy? Describe a basic encryption algorithm and how it works.
During this semester, we reviewed a number of areas in blockchain, business intelligence, data mining, electronic currency, etc.
For this task, you will identify a current description of a data-driven DSS, such as those described in the readings for this week.
Course : Intro to Data Mining-Please note what you've learned in the course and how you will apply it to your work life.
An accompanying graphic that will help you write functions and learn simple programming techniques using advanced Excel features.
For this assignment, you will need to locate and utilize large datasets. Please find attachment of dataset I choose.
Research current forensic acquisition tools listed, using the Strayer University Library and/or the Internet.
Discuss the topic of encryption - include purpose, fundamentals, examples of where it is commonly used within IT, algorithms, etc.
Who should determine which algorithm is "right" and the one to keep? Why?
For this research assignment, you are to search the Internet for other uses of Big Data in RADICAL platforms.
What are the different types of attributes? What is the difference between discrete and continuous data?
Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps?
Using the US Census Bureau at census.gov, search for a data set related to the state you are in. Analyze the data set and use any visualization tool.
How do you describe the importance of data in analytics? Can we think of analytics without data? Explain.
Review The Power of Good Design and select three of the ten principles noted for good design.
For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things
Discuss the main data mining methods. What are the fundamental differences among them?
There is much discussion regarding Data Analytics and Data Mining. Sometimes these terms are used synonymously but there is a difference.
More work is necessary on how to efficiently model uncertainty in ML and NLP, as well as how to represent uncertainty resulting from big data analytics.
Whereas data analytics provide valuable insights as they analyze the data to derive practical business conclusions (Khanra et al., 2020).