DocumentCode
264403
Title
Introduction to Big Data: Challenges, Opportunities, and Realities Minitrack
Author
Kaisler, Stephen ; Armour, Frank ; Espinosa, J.Albert
fYear
2014
fDate
6-9 Jan. 2014
Firstpage
728
Lastpage
728
Abstract
Big Data is still a maturing and evolving discipline. Big data databases and files have scaled beyond the capacities and capabilities of commercial database management systems. Structured representations become a bottleneck to efficient data storage and retrieval. Gartner has noted four major challenges (the four Vs): increasing volume of data, increasing velocity (e.g., in/out and change of data), increasing variety of data types and structures, and increasing variability of data. We have suggested a fifth V: value, which is the contribution big data has to decision making. Add to these the increasing number of disciplines and problem domains where big data is having an impact and one sees an increase in the number of challenges and opportunities for big data to have a major impact on business, science, and government.
Keywords
Data handling; Data models; Data storage systems; Data visualization; Educational institutions; Information management; Big Data; advanced analytics; domain specific modeling language; evidence-based modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location
Waikoloa, HI
Type
conf
DOI
10.1109/HICSS.2014.97
Filename
6758693
Link To Document