Cloudera Data Science Workbench

Cloudera Data Science Workbench

Collaborative environment for data science projects and model deployment.

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Cloudera Data Science Workbench screenshot

Cloudera Data Science Workbench is designed for data science teams to work effectively with languages like R, Python, and Scala. It provides easy access to powerful tools such as Apache Spark and Impala, facilitating the experimentation and development of complex projects.

This environment encourages collaboration, allowing team members to share their research and results easily.

Transitioning models from development to production is straightforward, requiring minimal recoding. Users can automate their analytics pipelines, monitor model performance in real-time, and create interactive dashboards for stakeholders. With a focus on security and compliance, Cloudera Data Science Workbench supports diverse data sources and customizable project environments.


  • Experiment with machine learning models
  • Share research with team members
  • Manage analytics pipelines independently
  • Deploy models as REST APIs
  • Run Spark queries securely
  • Monitor model performance in real-time
  • Customize project environments easily
  • Access data from various sources
  • Create interactive dashboards for stakeholders
  • Schedule automated data analysis tasks
  • Supports multiple programming languages
  • Facilitates team collaboration
  • Allows easy deployment of models
  • Automates analytics pipelines
  • Secure and compliant environment

Experimentation Data science insights Data analysis Tool development Data science collaboration Model deployment Data science research Data visualization tools Model evaluation Workflow management Data science security Project management Performance monitoring Data science deployment Research sharing
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