TY - GEN
T1 - Real-time big data analytics
T2 - 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
AU - Mohamed, Nader
AU - Al-Jaroodi, Jameela
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/18
Y1 - 2014/9/18
N2 - Timely analytics over big data is a key factor for success in many business and service domains. Some examples of these domains include finance, transportation, energy, security, military, and emergency response. Several big data applications in these domains rely on fast and timely analytics based on available data to make quality decisions. This paper surveys real-time big data analytics applications and their technical challenges.
AB - Timely analytics over big data is a key factor for success in many business and service domains. Some examples of these domains include finance, transportation, energy, security, military, and emergency response. Several big data applications in these domains rely on fast and timely analytics based on available data to make quality decisions. This paper surveys real-time big data analytics applications and their technical challenges.
KW - Big data
KW - Data analytics
KW - Real-Time processing
UR - http://www.scopus.com/inward/record.url?scp=84908637369&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908637369&partnerID=8YFLogxK
U2 - 10.1109/HPCSim.2014.6903700
DO - 10.1109/HPCSim.2014.6903700
M3 - Conference contribution
AN - SCOPUS:84908637369
T3 - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
SP - 305
EP - 310
BT - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
A2 - Smari, Waleed
A2 - Zeljkovic, Vesna
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 July 2014 through 25 July 2014
ER -