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Today I’ll wrap up my series on HDInsight with R Server. What R Server does is when you create an HDInsight cluster, you can select it as an option and it will provide data scientists, statisticians and R Programmers with on demand access to scalable and distributed methods of analytics on HDInsight.
Where it is open source, R allows you to leverage any of the 8,000+ open source packages. Because it falls in Microsoft’s big data analytics package, it includes the scale R routines. These routines provide things such as descriptive statistics, generalized linear models, logistic regression, classification and regression trees, as well as decision forests.
You can run an edge node outside of a cluster that provides a great place to connect on the cluster. You can also run your R scripts which gives the option of running parallel distributed functions. The models that are built can be downloaded for on prem use and can also be sent to Azure Machine Learning Studio for further processing and scoring.
So, why would you choose the Microsoft R Server over other options?
Many of these topics have been discussed throughout this series about the capabilities of HDInsight and what each has to offer. Looking at R, some key features are:
R Server fits within the Azure and HDInsight ecosystems, so you can use and easily integrate these technologies together, such as integrating with Azure Data Factory or Azure Data Bricks, etc.
With everything Azure, big data and data in general, Pragmatic Works is an industry leader. We love working with these technologies and teaching others about it and how to integrate it for their use cases. If you want to learn more about any of these great technologies, we’ve got a team that’s ready and excited to talk with you. Click the link below or contact us today.
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