ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

RosettaHUB, Towards a Universal Platform for Open Statistical Computing in the Cloud

14 September 2016, 09:00 – 09:20

Abstract

Submitted by
Karim Chine
Authors
Karim Chine (RosettaHUB)
Abstract
Fragmentation in the data science space reduces the productivity of statisticians and compromises their ability to share, collaborate and make their results reproducible. RosettaHUB is an innovative platform for open data science that reduces those frictions and offers statisticians a streamlined experience in their day-to-day interaction with tools, infrastructures, data and peers.

R, Python, Julia, SQL, Scala, Spark, ParaView, etc. can be used simultaneously and collaboratively within an interactive Google-docs like environment. The platform acts as a broker and a marketplace for statistical applications, it makes it possible to create and share resources on any infrastructure including Amazon EC2, GCE, Azure and private clouds. RosettaHUB is fully programmable. Its statistical and numerical cloud-based capabilities are accessible from Excel and from all the mainstream environments used by statisticians on their Personal Computers including the R and Python command lines.

Web site: www.rosettahub.com

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