BMGT 301- Midterm Exam Guide - Comprehensive Notes for the exam ( 77 pages long!)

• School: University of Maryland
• Department: Business and Management
• Course: BMGT 301
• Professor: Karake

Document Summary

Chapters 2, 4, 8, 9, 10, 13, 14, 15, and 17. Chapter 4 netflix and its use of technology. Chapter 8 understanding network effects: understand the concept of network effects, sources of value. Chapter 9: refer to the word documents with the various definitions. Chapter 10 the sharing economy: in addition to the ppt and the chapter, please watch the video posted on. Various concepts covered in class, including kevin mitnick"s short video. Excel (all applications learned in class or covered in your projects) and access. Fill in the blanks, very short response, matching. Text mining is a subset of data mining. Extracts key elements from large unstructured data sets like tweets texts emails. Disclosure rules forced netflix to reveal just how profitable they were. Data inconsistency one feed that has multiple entries. Logical database model that treats data as if they were stored in two dimensional - relational database define each field only once.