Deploying Python R Spark

Loading

Follow to receive video recommendations   a   A


AnacondaCon 2018. Daniel Rodriguez. Anaconda Enterprise provides an easy yet powerful architecture that allows people to connect from interactive sessions and deployments to running Spark clusters from Python and R. We will take a look at the Anaconda Enterprise 5 architecture for connecting to Hadoop/Spark clusters powered by Sparkmagic and Apache Livy (incubating), while taking a look at the benefits of this architecture and how it allows users to securely and easily connect to remote Hadoop/Spark clusters. We also will look at how Anaconda Enterprise enables users to do runtime distribution of custom Anaconda installers using Cloudera Parcels and Ambari Management Packs, allowing data scientists to ship Anaconda environments and leverage libraries from Anaconda.

Editors Note:

I would like to work with open source projects to create a branch of the tree with all of the best videos for your open source project. Please send me an email if you are interested.