TY - GEN
T1 - Industrial Big Data Analytics
T2 - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015
AU - Villanustre, Flavio
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/23
Y1 - 2015/7/23
N2 - Big Data Analytics in particular and Data Science in general have become key disciplines in the last decade. The convergence of Information Technology, Statistics and Mathematics, to explore and extract information from Big Data have challenged the way many industries used to operate, shifting the decision making process in many organizations. A new breed of Big Data platforms has appeared, to fulfill the needs to process data that is large, complex, variable and rapidly generated. The author describes the experience in this field from a company that provides Big Data analytics as its core business.
AB - Big Data Analytics in particular and Data Science in general have become key disciplines in the last decade. The convergence of Information Technology, Statistics and Mathematics, to explore and extract information from Big Data have challenged the way many industries used to operate, shifting the decision making process in many organizations. A new breed of Big Data platforms has appeared, to fulfill the needs to process data that is large, complex, variable and rapidly generated. The author describes the experience in this field from a company that provides Big Data analytics as its core business.
KW - Abstraction Models
KW - Big Data
KW - Dataflow Programming
KW - Declarative Programming
KW - Distributed Algorithms
UR - http://www.scopus.com/inward/record.url?scp=84947917283&partnerID=8YFLogxK
U2 - 10.1109/BIGDSE.2015.8
DO - 10.1109/BIGDSE.2015.8
M3 - Contribución a la conferencia
AN - SCOPUS:84947917283
T3 - Proceedings - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015
SP - 1
EP - 3
BT - Proceedings - 1st International Workshop on Big Data Software Engineering, BIGDSE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 May 2015
ER -