Case 2 - 40: help pls | Information Systems

help pls Case2-40.docx 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