Title :
Big Data Open Source Platforms
Author :
Coimbra de Almeida, Pedro Daniel ; Bernardino, Jorge
Author_Institution :
Dept. of Comput. Eng. & Syst., ISEC - Coimbra Inst. of Eng., Coimbra, Portugal
Abstract :
In a global market the capacity to mine and analyze user data is one way for companies to be as close in time and accuracy to the needs of their users. Big Data Platforms are one solution for companies to solve the necessary challenges to accomplish these capacities. Unfortunately the number of challenges that need to be addressed, allied with the high number of different solutions proposed, has led to the creation of a high number of different platforms making it hard to name one definitive and adequate platform for companies. In this paper we compare six of the most important Big Data Open Source Platforms to help companies or organizations choose the most adequate one to their needs. We analyze the following open source platforms - Apache Mahout, MOA, R Project, Vow pal Wabbit, PEGASUS and Graph Lab Create TM.
Keywords :
Big Data; data analysis; data mining; public domain software; Apache Mahout; Graph Lab Create TM; MOA; PEGASUS; R Project; Vow pal Wabbit; big data open source platforms; user data analysis; user data mining; Algorithm design and analysis; Big data; Companies; Data mining; Distributed databases; Machine learning algorithms; Big Data; Data Analysis; Data Mining; Open Source;
Conference_Titel :
Big Data (BigData Congress), 2015 IEEE International Congress on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7277-0
DOI :
10.1109/BigDataCongress.2015.45
