PyOphidia, the Ophidia python bindings, v1.4.0 is now available! You can install the package from PyPI (https://pypi.python.org/pypi/PyOphidia/) or get the source code from github (http://github.com/OphidiaBigData/PyOphidia/). This new version provides full compatibility with the latest Ophidia release v1.1.0.
The official Ophidia release v1.1.0 is now available on github (http://github.com/OphidiaBigData)! This release fixes several bugs and provides some new features, such as: – a WPS-enabled oph_term; – the support for OpenID authZ/authN; – monitoring of workflow status and progress; – the support for FITS data format; – a new operator for file system browsing. […] Read More
OphidiaLab is the new scientific data analytics environment developed at CMCC Foundation and based on Ophidia. OphidiaLab consists of several components like an Ophidia cluster, a JupyterHub instance including a large set of pre-installed Python libraries for data manipulation, analysis and visualization, and PyOphidia library. Full compatibility with the latest Ophidia release v1.0.0 is provided. […] Read More
The new paper titled “On the use of In-memory Analytics Workflows to compute eScience indicators from large climate datasets” accepted at the 1st Workshop on the Integration of Extreme Scale Computing and Big Data Management and Analytics (EBDMA 2017), which is held in conjunction with the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid […] Read More
The 2nd major and final INDIGO-DataCloud Software Release is out! ElectricINDIGO includes the Ophidia big data analytics framework (v1.0.0) in the Data Management and Data Analytics Solutions. More info are available at: https://www.indigo-datacloud.eu/news/electricindigo-second-indigo-datacloud-software-release
Two talks, titled “Ophidia: big data analytics experiments in the cloud for eScience” and “Analytics in the cloud for ENES” will be presented during the EGI-INDIGO Summit 2017 Conference in Catania (May 9, 2017). While the first presentation will highlight the key components and workflow principles of Ophidia especially for new communities, the second one […] Read More
The official Ophidia release v1.0.0 is now available on github (http://github.com/OphidiaBigData)! A complete documentation for end-users, administrators and developers is available at this link.
The official Ophidia release v0.11.0 is now available on github (http://github.com/OphidiaBigData)! It is the final Release Candidate, anticipating the v1.0.0 release which is planned for mid March 2017. A complete documentation for end-users, administrators and developers is available at this link. This release is also part of the. “INDIGO MidnightBlue Release – Update 7”
A large-scale workflow video implemented in the CLIP-C project is available on the Ophidia YouTube channel at: https://www.youtube.com/watch?v=RtZ6Ekh-fl0. It shows the computation of the Snow off, Snow on and Length of snow season indicators performing 599 tasks on Snow Water Equivalent input dataset. Output is used for comparing the snow-off dates in Northern Europe (http://www.clipc.eu/content/content.php?htm=158).
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