ISM 3004 Lecture Notes - Lecture 9: Microsoft Access, Data Mining, Apache Hadoop

• School: University of Florida
• Department: Information Systems and Operations Management
• Course: ISM 3004
• Professor: Eric Olson

Document Summary

Scavenger hunt week 09 the data asset. Information abundance! (a lot of data, (cid:271)ut does(cid:374)"t (cid:373)atte(cid:396) (cid:271)e(cid:272)ause *see below: the world has changed, geek up! (coming from treasure side of equation) Hope not: data, math will rock your world! 10. 02-data, information and knowledge: data, raw facts and figures (tells you nothing; needs to be understood (known as schema), e. g. List of every section taken by every student for 10 years. Information: data presented in a context so it can answer a question or support decision-making, e. g. Report showing number of students taking ism3004 each semester for the last 10 years: knowledge. Select * (means all) from customers: e. g. Elect * from custo(cid:373)e(cid:396)s where tate: (cid:862)fl(cid:863: leading dbms, desktop database- microsoft access, servers- microsoft sql server and oracle (commercial products, open source- mysql. What are its two key characteristics: any business exchange, standardized (looks basically the same, occurs repeatedly, e. g.