DeployR – R Analytics Integration



DeployR – R Analytics Integration

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deployr-slides

MS DeployR Slides

On Github swells / deployr-slides

DeployR

R Analytics Integration

♥   The DeployR Team   @ github

https://github.com/deployr

Complexity

  • Proliferation of complex middle-ware tools
  • Complex UI/UX
  • Many devices: Desktop. Laptop. Netbook. Tablet. Phone. TV. Appliances. Wearables.
  • Silos of expertise and knowledge

Agnostic Information Flow

We want

  • Flexible analytics integration into anything
  • Easy deployment of your analytics
  • We can not be opinionated!

DeployR - Simple APIs for integration

  • Turns R scripts into secure analytics web services
  • Easy for application developers to collaborate with data scientists to integrate R analytics w/o knowledge of R
  • Not opinionated in how you develop or consume the R analytics

Basic Workflow

Roles & Responsibilities

R Scripts == R Scripts

  • Local R Script is the same as the deployed R Script in DeployR
  • Makes for R code portability, testability, and reusability
  • Productive workflow
  • True separation of concerns
    • Separate from the presentation layer
    • Separate from the application domain layer
    • Your analytics are just your analytics layer
  • DeployR is not opinionated so do what makes sense

Architecture

Architecture

  • DeployR is a standalone server product
  • Behaves like an on-demand R analytics engine
  • Supports a scalable grid framework for your R sessions

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The End

find us on Github

https://github.com/deployr