Cloudera Data Science Workbench is secure and compliant, with support for Hadoop authentication, authorization, encryption, and governance.
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The platform operates directly in the web browser with Python, R, and Scala, giving users the ability to download and experiment with libraries and frameworks in customizable project environments.
“We are entering the golden age of and it’s all about the data. However, data scientists continue to struggle to build and test new analytics projects as fast as they would like, particularly in large scale environments,” Cloudera Products Senior Vice President Charles Zedlewski said in a statement. “The Data Science Workbench is a self-service tool that accelerates the ability to build, scale and deploy
Making Collaborations Easier
“This means that data scientists now have the freedom to share, collaborate and manage their data in a way that best suits them and their enterprise, resulting in an easier and faster path to production.” Cloudera Data Science Workbench integrates with many existing
Allowing for Integration into Existing Systems
The integration of BigDL into Data Science Workbench allows organizations to leverage
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