dc.contributor.author |
Brehm, Robert P. |
|
dc.date.accessioned |
2012-07-17T18:23:48Z |
|
dc.date.available |
2012-07-17T18:23:48Z |
|
dc.date.issued |
2012-07-17 |
|
dc.identifier.uri |
http://hdl.handle.net/1794/12252 |
|
dc.description |
This paper was completed as part of the final research component in the University of Oregon Applied Information Management Master's Degree Program [see htpp://aim.uoregon.edu]. |
en_US |
dc.description.abstract |
The nature of business computing is changing due to the proliferation of massive data sets referred to as big data, that can be used to produce business analytics (Borkar, Carey, & Li, 2012). This annotated bibliography presents literature published between 2000 and 2012. It provides information to CIOs and CTOs about big data by: (a) identifying business examples, (b) describing the relationship to data-intensive computing, (c) exploring opportunities and limitations, and (d) identifying cost factors. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.relation.ispartofseries |
AIM Capstone 2012;Robert P. Brehm |
|
dc.rights |
rights_reserved |
en_US |
dc.subject |
Applied Information Management |
en_US |
dc.subject |
AIM |
|
dc.subject |
Data |
|
dc.title |
What CIOs and CTOs Need to Know About Big Data and Data-Intensive Computing |
en_US |
dc.type |
Other |
en_US |