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Accelerate data science from exploration to production using R, Python, Spark and more

For data scientists

Open data science, your way.

Use R, Python, or Scala with your favorite libraries and frameworks

No need to sample.

Directly access data in secure Hadoop clusters through Apache Spark and Apache Impala

Reproducible, collaborative research.

Share insights with your whole team

For IT professionals

Bring analysis to the data.

Give your data science team the freedom to work how they want, when they want

Secure by default.

Stay compliant with out-of-the-box support for full Hadoop security

Flexible deployment.

Run on-premises or in the cloud

Secure for the enterprise

Cloudera Data Science Workbench is secure and compliant by default, with support for full Hadoop authentication, authorization, encryption, and governance. Finally, data scientists can easily access Hadoop data and run Spark queries in a safe environment.

Find out how it works

Self-service data science screenshot

Self-service data science

With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench delivers a self-service experience data scientists will love. Download and experiment with the latest libraries and frameworks in customizable project environments that work just like your laptop.

Introduction blog

Automated data and analytics pipelines

Cloudera Data Science Workbench lets data scientists manage their own analytics pipelines, including built-in scheduling, monitoring, and email alerting. Quickly develop and prototype new machine learning projects before deploying to production.

Job screenshot

Multi-tenant and ready for the cloud

Break down analytic silos and drive more value from your enterprise data hub, whether on-premises or in the cloud. Collaborative, shareable project environments ensure that diverse data science teams can work together towards standard, reproducible research.


Analyst Report

Apache Spark market survey

Whitepaper

What is data science

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