Overview of Deploying CDSW1.9.1 on HDP Overview

Cloudera Data Science Workbench is a secure, self-service enterprise data science platform that lets data scientists manage their own analytics pipelines, thus accelerating machine learning projects from exploration to production.

Cloudera Data Science Workbench allows data scientists to bring their existing skills and tools, such as R, Python, and Scala, to securely run computations on data in Hadoop clusters. It enables data science teams to use their preferred data science packages to run experiments with on-demand access to compute resources. Models can be trained, deployed, and managed centrally for increased agility and compliance.

Starting with version 1.5, Cloudera Data Science Workbench includes direct integration with the Hortonworks Data Platform that supports collaborative development and can run both in the public cloud and on-premises.

The rest of this topic describes how Cloudera Data Science Workbench can be deployed on HDP. It walks you through a brief architecture overview, the installation requirements, and the limitations associated with such deployments. It also includes instructions on how to install the Cloudera Data Science Workbench package on HDP.