Ophidia

Ophidia

Ophidia provides a Big Data analytics framework for parallel I/O and the analysis of multi-dimensional datasets. It leverages the datacube abstraction and comes with an extensive set of OLAP-oriented parallel operators, supporting e.g. datacube sub-setting, datacube aggregation, NetCDF file import and export, datacube intercomparison. Additionally it provides several primitives to operate on n-dimensional arrays that allow, among the others, sub-setting, data aggregation, array concatenation, algebraic expressions, predicate evaluation, statistical analysis and regression.

The latest Ophidia release is v1.0.0 (released in March 2017). The current release includes already some of the extensions developed during the project, e.g. the higher decoupling between the analytical framework and the I/O features. The next version is expected by July-August 2017. Additional releases will follow during 2017.
Contact Person: 
http://www.eubra-bigsea.eu/
MARKETS & USERS

Current Users: 
It has been extended and used in several research projects like: FP7 EUBRazilCloudConnect, FP7 CLIP-C and H2020 INDIGO-DataCloud

User Categories: 
Researchers
Chief Technology Officer (CTO)
Chief Financial Officer (CFO)
Developers

Community / market sectors: 
Climate Change, Astronomy and Seismology, Earth Science, Bioinformatics and Weather

Specific needs / Value Proposition: 
It addresses big data challenges in eScience. It exploits advanced parallel computing techniques and a hierarchical storage organization to execute intensive data analysis over multi-terabytes datasets.

Specific benefits / Value Proposition: 
The service provides a mix of features that makes it very interesting in the big data landscape. Basically it provides support for high performance data analytics in eScience contexts, which means that: - It supports metadata management (including provenance) which is key in eScience contexts; - It can be deployed both in HPC and private cloud environments; - It implements a high performance data analytics approach; - It provides declarative interfaces for analytics workflow; - It supports in-memory data analytics; - It provides a user-friendly Python API (client-side); - It implements a novel approach in scientific contexts like climate change, still relying on sequential tools for data analysis.

SUSTAINABILITY PLAN
The latest Ophidia release is v1.0.0 (released in March 2017). The current release includes already some of the extensions developed during the project, e.g. the higher decoupling between the analytical framework and the I/O features. The next version is expected by July-August 2017. Additional releases will follow during 2017.
OWNER DETAILS
Owner (incl. Joint ownership): 
CMCC - Euro-Mediterranean Center on Climate Change

Owner type: Government/Public Service

Country: 
Italy
Delivery Model: 
Open source

EU EUBrasilCloudFORUM is funded by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 689495. Este projeto é resultante da 3a Chamada Coordenada BR-UE em Tecnologias da Informação e Comunicação (TIC), anunciada pelo Ministério da Ciência, Tecnologia e Inovação (MCTI), no âmbito to acordo de subvenção Número 689495. Privacy Policy | Disclaimer Terms of use