Title :
Industrial Big Data Analytics: Lessons from the Trenches
Author :
Villanustre, Flavio
Author_Institution :
LexisNexis Risk Solutions, Reed Elsevier, Atlanta, GA, USA
Abstract :
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.
Keywords :
Big Data; information retrieval; information technology; data science; industrial Big Data analytics; information extraction; information technology; mathematics; statistics; Big data; Companies; Computer architecture; Data mining; Distributed databases; Joining processes; Programming; Abstraction Models; Big Data; Dataflow Programming; Declarative Programming; Distributed Algorithms;
Conference_Titel :
Big Data Software Engineering (BIGDSE), 2015 IEEE/ACM 1st International Workshop on
Conference_Location :
Florence
DOI :
10.1109/BIGDSE.2015.8