Describe the issues of this data-driven world What are the opportunities?
Module 2 – Case Database Management
Assignment Overview
The Case Assignment for this module revolves around the question of large-scale data and the implications of database capabilities for organizational data management. As we’ve said, the change from data as a scarce resource to data as overabundance is still a major concern for organizations. Here, you’ll have a chance to consider the value of data and information. Data storage and management was seldom considered a particularly exciting topic; however, when data is used for making better decisions and/or enhancing organizational performance, it is amazing how quickly organizational (and personal) interest can be created.
The new state of having too much data to fit into the established databases is increasingly called “big data.” Big data arises from a combination of cheap storage, multiple data input streams from social media, IOT devices, etc., and a general sense that with all of this, there ought to be valuable data in there somewhere. Here are a couple of sources that discuss these issues:
Compliance and assessment from LinkedIn Learning
Privacy, Governance, and Compliance: Data Classification and Inventory from LinkedIn Learning Risk zone 6: Data control and monetization from LinkedIn Learning
The Case Assignment for this module revolves around the challenges of “big data”—that is, how to manage it and create reasonable analysis strategies while at the same time avoiding becoming totally dependent on it. Data makes a very good servant, but not a very attractive master.
Case Assignment
After reviewing these materials, write a 3- to 5-page paper discussing the following topic:
Describe the issues of this data-driven world. What are the opportunities? But also, what problems result from Big Data? For example, our digital activities are monetized in terms of advertising, yet we have the convenience of online shopping. Discuss these opportunities and problems and how to deal with them.
Assignment Expectations
Length: Follow the number of pages required in the assignment excluding cover page and references. Each page should have about 300 words.
Your assignment will be graded according to the MSITM SLP Grading Rubric.
You are required to make effective and appropriate use of in-text citations to the assigned readings and other source material to support your arguments. Please use the Trident Introduction to APA guide for proper formatting and style.
Module 2 – Resources
Database Management
Required Reading
Required Reading
Big data and privacy from LinkedIn Learning
Understanding and Prioritizing Data Privacy from LinkedIn Learning
Data monetization and data-driven culture from LinkedIn Learning
Discussion
Understanding and Prioritizing Data Privacy from LinkedIn Learning
Data monetization and data-driven culture from LinkedIn Learning
Case Assignment
Compliance and assessment from LinkedIn Learning
Privacy, Governance, and Compliance: Data Classification and Inventory from LinkedIn Learning Risk zone 6: Data control and monetization from LinkedIn Learning
SLP
Learning SQL Programming from LinkedIn Learning
Optional Reading
Ferguson, R. B. (2012). How much data is too much data to mine? Sloan Review. http://sloanreview.mit.edu/improvisations/2012/06/08/how-much-data-is-too-much-data-to-mine/#.ULbDb2f4IVo
O’Reilly. (2019, May 6). Privacy, identity, and autonomy in the age of big data and AI [Video]. https://www.youtube.com/watch?v=JvSEw1HuZvc
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