Title :
Big Data analytics frameworks
Author :
Chandarana, Parth ; Vijayalakshmi, M.
Author_Institution :
V.E.S.I.T., Mumbai, India
Abstract :
Big Data concerns massive, heterogeneous, autonomous sources with distributed and decentralized control. These characteristics make it an extreme challenge for organizations using traditional data management mechanism to store and process these huge datasets. It is required to define a new paradigm and re-evaluate current system to manage and process Big Data. In this paper, the important characteristics, issues and challenges related to Big Data management has been explored. Various open source Big Data analytics frameworks that deal with Big Data analytics workloads have been discussed. Comparative study between the given frameworks and suitability of the same has been proposed.
Keywords :
Big Data; data analysis; public domain software; Big Data analytics workloads; Big Data management; Big Data processing; data management mechanism; decentralized control; distributed control; open source Big Data analytics frameworks; re-evaluate current system; Big data; Computer architecture; Information technology; Organizations; Real-time systems; Storms; Apache Drill; Apache Hadoop; Big Data Analytics; Big Data Issues and Challenges; Project Storm;
Conference_Titel :
Circuits, Systems, Communication and Information Technology Applications (CSCITA), 2014 International Conference on
Conference_Location :
Mumbai
DOI :
10.1109/CSCITA.2014.6839299
