JIA’2016 March 25th 2016 A platform at the crossroads of data science, big data and IoT.

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Presentation transcript:

JIA’2016 March 25th 2016 A platform at the crossroads of data science, big data and IoT

A universal open platform for data science Computational Components R packages, Wrapped C,C++,Fortran code, Python modules, Matlab Toolkits… Open source or commercial Computational Resources Clusters, grids, private or public clouds Free or pay-per-use Computational GUIs HTML5 and Desktop Workbench Built-in views /Plugins /Collaborative views Open source or commercial Computational Scripts R / Python / Matlab / Groovy Computational APIs Java / SOAP / REST, Stateless and stateful Computational Storage Local, NFS, FTP, Amazon S3, EBS Generated Computational Web Services Stateful or stateless, mapping of R objects/functions rosetta HUB

Infrastructures federation: The rosettaHUB cloud Public Clouds Private Cloud

AWS: programmable infrastructure Command Line Web Console SDK API

Command Line Web Console SDK API rosettaHUB: programming with data and infrastructure

Google Docs-like real time collaboration

Traceable and Reproducible data science rosettaHUB AMI 1 R 2.10 BioC 2.5 rosettaHUB AMI 2 R 2.9 BioC 2.3 rosettaH UB AMI 3 R 2.8 BioC 2.0 rosettaHUB Amazon Machine Images rosettaHUB EBS 1 Data Set XXX rosettaHUB EBS 2 Data Set YYY rosettaHUB EBS 3 Data Set ZZZ rosettaHUB EBS 4 Data Set VVV rosettaHUB AMI 2 R 2.9 BioC 2.3 rosettaHUB EBS 4 Data Set VVV Amazon Elastic Block Stores rosettaHUB AMI 2 R 2.9 BioC 2.3 rosettahub.com rosettaHUB EBS 4 Data Set VVV