Ophidia @ ESGF F2F Meeting 2016

Two talks, titled “Ophidia big data analytics framework” and “Large-Scale Data Analytics Workflow Support for Climate Change Experiments” will be presented during the ESGF F2F Conference 2016 in Washington (Dec 6-9, 2016). While the first presentation will highlight the key components of the Ophidia framework and some relevant use cases, the second one will focus […] Read More

The official release of Ophidia v0.10.6 is now available!

The official Ophidia release v0.10.6 is now available on github (http://github.com/OphidiaBigData)! It includes new interfaces for interleaved and interactive workflows as well as a lot of new features and bug fixes. A complete documentation for end-users, administrators and developers is available at this link. This release is also part of the “INDIGO MidnightBlue Release – […] Read More

Ophidia @ ENES Community Meeting Reading 2016

A talk on climate change data analytics & Ophidia titled “Distributed and cloud-based experiments for multi-model data analytics in the Earth System Grid Federation (ESGF) eco-system” will be presented at the ENES Community Meeting Reading 2016 (October 25-27, 2016) (https://www.ncas.ac.uk/index.php/en/2-uncategorised/2593-enes-community-meeting-reading-2016). The talk will describe the main challenges for the climate community towards large-scale data analytics […] Read More

Ophidia Demo@HPCS2016

A demo on the Workflow Management System of Ophidia “Toward large-scale big data analytics workflows for eScience” has been presented in the HPCS 2016 Conference held in Innsbruck, Austria on July 18-22. Basic foundations about the Ophidia Workflow Management System have been illustrated and several use cases have been presented, from very simple workflows towards […] Read More

Ophidia@e-Research Summer Hackfest

Ophidia has been presented in the context of the e-Research Summer Hackfest held at the Department of Physics and Astronomy of the University of Catania on July, 4-15, 2016. The features and internals of the Ophidia Big Data Analytics Framework have been presented and many use cases have been collected from the attendants concerning various […] Read More

Talk on large scale distributed experiments for climate change data analytics in ESGF

A talk on climate change data analytics & Ophidia titled “Toward large scale distributed experiments for climate change data analytics in the Earth System Grid Federation (ESGF) eco-system” will be presented on June 16, 2016 at the 4th BDEC Closed Workshop (http://www.exascale.org/bdec/). The talk presents the main issues and challenges for the climate community regarding […] Read More

Ophidia @ CMCC Annual Meeting 2016

A lightning talk and a poster about the “End-to-end workflow support for data analytics into operational environments” have been presented at the CMCC Annual Meeting. Some workflows implemented in the H2020 INDIGO-Datacloud (“Extreme precipitation trend analysis”) and the FP7 CLIP-C (“climate indicators”) projects were presented showing the key results in terms of workflow language expressiveness […] Read More

Ophidia talk @ BigDAW16!

A paper describing the Ophidia extensions regarding in-memory data analytics has been accepted to the Big Data Analytics Workshop (BigDAW16) that will be held in conjunction with the ACM International Conference on Computing Frontiers 2016 (http://www.computingfrontiers.org/2016/index.html) in Como, Italy, May 16-18 2016.

Ophidia @ EGU2016

A poster on the Ophidia big data framework will be presented on April 19th at the EGU2016 Conference in Vienna, during the session on “NP4.5/ESSI1.5 Big data and machine learning in geosciences”. The poster presents the key aspects of Ophidia, recent advances in the context of some European projects like INDIGO and interoperability aspects with […] Read More

Ophidia & CLIP-C @ EGU2016

A poster on Ophidia will be presented on April 19th at the EGU2016 Conference in Vienna, during the session on “NP4.5/ESSI1.5 Big data and machine learning in geosciences”. The poster highlights how Ophidia can be used for climate change impacts indicators processing. The poster title is “A big data approach for climate change indicators processing […] Read More