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Sometimes these terms are used synonymously but there is a difference. What is the difference between Data Analytics vs Data Mining?
Explain and describe 5 data cleansing techniques involved in data transformation during the data visualization projects. 500 words
Imagine a Clustering problem where the educational researchers would like to find clusters of students. What kind of Objective Function would you design? Why?
Compile a list of various data-compression techniques that are commonly employed in today's computer systems.
Create a database that integrated logical design best practices, what are the three most important features you would integrate in your end solution?
Can you provide example use cases where a business would need data to be fairly rigid, applying a 1-1 model? How about fairly lenient, applying a M-M model?
Describe the major components of each pertaining to the storage and transmission of data.
What are regular expressions? Why are regular expressions useful? How would you use regular expressions in data visualizations?
What are the three most important features you would integrate in your end solution?
Would you represent the agent information as attributes in the player table or would you create an entity set for players' agents?
Discuss the relationship between data, information, and knowledge. Support your discussion with at least 3 academically reviewed articles.
What data quality is and why you should care about it. Should data quality get more attention than the quantity of data collected or vice versa?
Discuss what kind of user training should be conducted to deal with the issue of noise. What effects would false positives have on an organization?
Describe the importance of databases and database management systems in managing organizational data and information.
Discuss at least one security model to properly develop databases for organizational security. Create a diagram of a security model for your research paper.
Provide the types and some examples of database management systems. Address the advantages and disadvantages of using a DBMS.
Discuss the evolution of data storage. Where is this technology today and comment on data storage for big data, mobile devices, and the cloud?
Discuss the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.
Why do we need to understand data visualisations? This can mean that some people feel left out of conversations about data.
Describe several forms of metadata that can be useful to an investigation. How are valuable to an investigator?
Analyze what are the strategic and technical security measures for good database security?
What do you think the future of Big Data will be? Will it lose its popularity to something else? If so, what will it be?
Draw the corresponding ERD for the following Employee Database. Normalize the following Schema with the given functional dependencies into BCNF.
If you were implementing a new database system for an ERP or CRM that required a minimum of 100 TB. What would you consider as you plan your physical design?
Get all employee details from the employee table. Get FIRST_NAME from employee table after removing white spaces from right side.