Big Data and Business Analytics
Brief Description:
Research and report on a topic related to database administration and security.
Content Requirements:
Your paper must contain three sections
1. Database Administration Activity/Responsibility Description: describe a specific area of database administration that interests you, such as those in the Topic Examples, below.
2. Related Security Issues: discuss at least three security issues associated with the database administration area that you have selected, supporting the significance of your selections with literature sources. Chapter 11 of the CISSP textbook is a good starting point for identifying significant security issues.
3. Solution Options Analysis: review at least three methods and/or technologies that would promote information assurance in the selected database administration area, including clear explanations of the methods/technologies themselves, and make comparisons in terms of financial, operational, managerial, strategic, and/or environmental differences among them. Support your explanations and comparisons with literature sources.
Additional Requirements:
Format
· The paper should be submitted as a Microsoft Word document.
· The body of the paper should be approximately 8 to 10 pages long, double-spaced (excluding cover page, tables, figures, and references).
Use APA (American Psychological Association) style for all parts of the paper (body and references).
· Include a References list after the body of the paper, using APA format for the list entries and the parenthetical citations of references in the body text.
· Two important formatting criteria are consistency (same style used throughout) and clarity of presentation (citations tell exactly what is being referenced, headings clearly indicate the relative level of each section, indents or spacing designate where each paragraph begins, etc.).
Topic Examples:
Semi-structured (XML) data management
Data integration/ERP
Scientific Data Management
Data Mining
Databases and the Web
Database performance
Visualization of large datasets
Energy-efficient data processing
Big Data and Business Analytics