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  • Analytics as a Microservice


    This article includes a demo showcasing Spotfire®'s ability to publish a statistical model, developed in Spotfire® Enterprise Runtime for R (TERR), as a microservice. We also show you how your Integration applications can consume your statistical models deployed in TERR.

    Microservices is a term that has come up over the last few years which outlines a particular way in which your applications need to be architected. Each organization can subscribe to a different definition of a microservice, however they will have a few common characteristics. These include isolating business capabilities, intelligent end points and decentralized control of languages and data.

    Some say that Microservices is SOA done right and it's more of an integration focused design choice. However the Microservices philosophy for breaking up your monolithic applications into a more business focused process has forced your analytical models to be integrated in these microservices as well.

    Enterprises and data scientists use "R" for predictive modelling and mining data quite extensively. However, it is difficult to integrate/fit "R" into modern day web development tools and microservice architectures themed for uniform Customer Experience across Digital Channels. 

    This demo showcases Spotfire®'s ability to publish a statistical model, developed in Spotfire® Enterprise Runtime for R (TERR), as a microservice. We also show you how your Integration applications can consume your statistical models deployed in TERR.


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