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Databricks Join Hands with RStudio to Simplify R Programming on Big Data

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Databricks recently announced it has partnered up with RStudio - a company that offers a free and open-source integrated development environment for R - in order to enhance the productivity of data science teams. The partnership will enable both the companies to smoothly integrate Databricks' Unified Analytics Platform with the RStudio Server, thus easing R programming on big data. The integration of RStudio and Databricks does away with the roadblocks that halt most R-based machine learning and artificial intelligence projects. Databricks' Unified Analytics Platform provides collaboration abilities for data engineers and data scientists to work efficiently across the complete development-to-production lifecycle. Whereas RStudio delivers a preferred way for data science teams to analyze data with R via open source and enterprise-ready tools for the R computing environment.


Databricks Partners with RStudio To Increase Productivity of Data Science Teams - insideBIGDATA

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Databricks, a leader in unified analytics and founded by the original creators of Apache Spark, announced a partnership with RStudio, providers of a free and open-source integrated development environment for R, to increase the productivity of data science teams. The partnership will allow the two companies to seamlessly integrate Databricks' Unified Analytics Platform with the RStudio Server, simplifying R programming on big data. The RStudio and Databricks integration removes the barriers that stop most R-based machine learning and artificial intelligence (AI) projects. Hundreds of organizations are leveraging Databricks' Unified Analytics Platform as a simplified approach for data science and data engineering teams to unify data processing with AI technologies. Unified analytics solutions provide collaboration capabilities for data scientists and data engineers to work effectively across the entire development-to-production lifecycle.


RStudio on Databricks -- Databricks Documentation

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To set up RStudio Server Pro on a Databricks cluster, you must create an init script to install the RStudio Server Pro binary package and configure it to use your license server for license lease. See Cluster-scoped init scripts for more details. The following is an example notebook cell that installs an init script on DBFS. The script also performs additional authentication configurations that make integration with Databricks smoother.


Will Databricks' support for R Studio open the door?

ZDNet

In the familiar role of the company whose founders start an open source goliath, providers like Databricks risk becoming victims of their own success. In this case, the founders are the ones who created the Spark project; their product or service has it, and so do many frenemies. It boasts a growing partner ecosystem encompassing almost all the usual suspects among cloud platforms; roughly a dozen software partners spanning data preparation, databases, data science, and visualization tools; plus a range of consulting and training providers. While Spark is written in Scala, Databricks has reached out to the R and Python communities who otherwise perceive an impedance mismatch getting their programs to efficiently execute in Spark. Databricks accommodated R developers with SparkR, and later with SparklyR support, but you still had to go through the Databricks notebook to execute.


Tutorial: Getting Started with R and RStudio

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If you already know how to use RStudio and want to learn some tips, tricks, and shortcuts, check out this Dataquest blog post. RStudio is an open-source tool for programming in R. RStudio is a flexible tool that helps you create readable analyses, and keeps your code, images, comments, and plots together in one place. Using RStudio for data analysis and programming in R provides many advantages. RStudio can also be used to program in other languages including SQL, Python, and Bash, to name a few. But before we can install RStudio, we'll need to have a recent version of R installed on our computer.