Make Life Easier & More Powerful with Anaconda
Easily Manage, Collaborate & Scale Out Your Data Science on Hadoop
R is a powerful Open Data Science language, adored by statisticians, analysts and data scientists across the globe.
But managing packages and dependencies in R is frustrating. Making other people's R code work is a time-consuming challenge that prevents you and your colleagues from collaborating. Most importantly, these challenges stop your organization from reproducing and benefiting from the insights your analysis has uncovered.
We're here to help. Anaconda makes package, dependency and environment management with R, as well as other Open Data Science languages, easy. Now your code works on everyone's machine, and Anaconda Enterprise Notebooks make team collaboration effortless while giving both data scientists and analysts a powerful interface to share the entire data science narrative, including analysis and interactive visualizations.
Once your analysis is complete and you're ready to scale out, Anaconda for Cluster Management makes installation and ongoing package management on your Hadoop cluster simple and as easy as working locally, while your analysis benefits from the scalability of distributed computing.
On April 27th, Continuum Analytics Senior Data Scientist Christine Doig will host a webinar on using Anaconda with R.
You'll learn to:
-Manage R packages, dependencies and environments with ease using conda and R-Essentials
-Collaborate across your data science team with Enterprise Notebooks for R
-Scale out across hundreds of nodes with Anaconda for Cluster Management and SparkR