KloudStat

Analyze big data with R in the Cloud

Analyze big data with R in the cloud (or iPad) #rstats #hadoop Today, big data is the crucial in many applications areas from academic to businesses. Dealing with big data is not an easy issue. It is not only about the statistical software, we have the open source R, and the powerful hardware, we can easily have 1000 of instances with cloud providers; it is all about the ease-of-use, the cost and the experience. Commercial cloud providers, such as Amazon Web Services (AWS) promote its simple and fast access to general computing and hosting. But this is not true for most of the academicians and enterprises. You need at least an expert to spend some hours to setup the R statistical environment before your analysis. And it is just an instance. If you have computation intensive analysis, you will need a cluster of sereval instances with different layers of big data stacks. All the installation and configuration are becoming more and more complex. We’re just data analysts. We just want to focus on data analysis. Why is it so hard? And end out nothing after some days of hardwork and resources wasted? KloudStat, a cloud integrated development environment for open source R, provides the academicians and enterprises the platform to perform and focus on big data analytic processes that are critical in decision making without dealing with the backend production environment, such that KloudStat as a fast, scalable, distributed system can start with on a single server within a minute and expand to a cluster of instances optimized for each tier, i.e. R clusters, Hadoop clusters, databases and application servers of the system automatically. Besides giving the freedom of data intelligence to everyone at anywhere, anytime across multiple platforms, KloudStat’s collaboration feature allows a small group of collaborators can interact and do statistical analyses real-time with the virtual console, finally the source editing while all will be completely synchronize with local R software. KloudStat’s most interesting feature would be the modules or more advanced, big data applications development, which allows developers to implement the statistics engine in R with KloudStat APIs, while envolved in a top layer defined like a user interface. The main layer coordinates the lower layers where different engines based on several architectures are implemented. Each modules or applications created that contains many features are for specific task or purpose. These modules or apps allows faster data analysis and for everyone even don’t have programming knowledge. KloudStat was built based on Rstudio server with pre-configured big data stacks, such as Hadoop. You can start analyzing your data as soon as you login to your console dashboard, no cluster configuration needed as all is automated and optimized. So far, the user had to start his R session with special MPI command. MPI binding is automatically created in the background and you can start your computer cluster using the packages snow, Rmpi or foreach without any additional steps. Contact Info: KloudStat CloudStat.me Sdn Bhd (958777-A) MSC Technology Commercialization Center, Multimedia University (MMU) Cyberjaya 63000, Selangor, Malaysia Website: http://kloudstat.com Tutorial Video: https://vimeo.com/kloudstat Email: [email protected] Customer Support: http://support.kloudstat.com/ Blog: http://blog.kloudstat.com Sales Page: http://signup.kloudstat.com LinkedIn: http://www.linkedin.com/organization/kloudstat Code: http://code.kloudstat.com Facebook: http://fb.com/kloudstat Twitter: @kloudstat Pinterest: http://pinterest.com/kloudstat Weibo: http://weibo.com/kloudstat Slideshare: http://slideshare.com/kloudstat Crunchbase: http://crunchbase.com/kloudstat