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Cloudera to Accelerate Data Science for the Enterprise with New Data Science Workbench

By   /  March 20, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Cloudera, the provider of the leading global platform for machine learning and advanced analytics built on the latest open source technologies, today unveiled Cloudera Data Science Workbench, a new self-service environment for data science on Cloudera Enterprise which is currently in beta. Based on the company’s acquisition of data science startup Sense.io last year, Data Science Workbench allows data scientists to use their favorite open source languages – including R, Python, and Scala – and libraries on a secure enterprise platform with native Apache Spark and Apache Hadoop integration, to accelerate analytics projects from exploration to production. ‘Cloudera is focused on improving the user experience for data science and engineering teams, in particular those who want to scale their analytics using Spark for data processing and machine learning,’ said Charles Zedlewski, senior vice president, Products at Cloudera. ‘The acquisition of Sense.io and its team provided a strong foundation, and Data Science Workbench now puts self-service data science at scale within reach for our customers’.”

The release goes on, “Cloudera Data Science Workbench’s benefits include: For data scientists – Use R, Python, or Scala with your favorite libraries and frameworks, directly from a web browser. Directly access data in secure Hadoop clusters with Spark and Impala. Share insights with your whole team for reproducible, collaborative research. For IT professionals – Give your data science team the freedom to work how they want, when they want. Stay compliant with out-of-the-box support for full Hadoop security, especially Kerberos. Run on-premises or in the cloud, wherever you manage your data.”

Read more at Globe Newswire.

Photo credit: Cloudera

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