RP0194 – A big data analytics framework for scientific data management

12/2013

The Ophidia project is a research effort addressing big data analytics requirements, issues, and challenges for eScience. We present here the Ophidia analytics framework, which is responsible for atomically processing, transforming and manipulating array-based data. This framework provides a common way to run on large clusters analytics tasks applied to big datasets. The document highlights the design principles, algorithm, and most relevant implementation aspects of the Ophidia analytics framework. Some experimental results, related to a couple of data analytics operators in a real cluster environment, are also presented.

To download the unabridged version of this research paper, please contact: [email protected]

CMCC Institutes

CMCC Divisions

Authors

  • Keywords: big data, data analytics, parallel I/O, eScience

Start typing and press Enter to search

Shopping Cart