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Cloudera Announces Data Science Workbench to Accelerate Data Science in the Enterprise

By   /  May 2, 2017  /  No Comments

by Angela Guess

According to a new press release, “Cloudera, Inc., the provider of the leading modern platform for machine learning and advanced analytics built on the latest open source technologies, announced the general availability of the Cloudera Data Science Workbench, its self-service tool for data scientists. The workbench, announced in beta at Strata+Hadoop World San Jose 2017, enables fast, easy and secure self-service data science for the enterprise. ‘We are entering the golden age of machine learning 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,’ said Charles Zedlewski, senior vice president, Products at Cloudera. ‘The Data Science Workbench is a self-service tool that accelerates the ability to build, scale and deploy machine learning solutions using the most powerful technologies. 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’.”

The release goes on, “With Python, R, and Scala directly in the web browser, Cloudera Data Science Workbench delivers a self-service data science experience. It gives users the ability to download and experiment with the latest libraries and frameworks in customizable project environments. Cloudera Data Science Workbench is both secure and compliant, with support for Hadoop authentication, authorization, encryption, and governance. The Office of National Statistics (ONS), the UK’s largest independent producer of official statistics, is aiming to use the Cloudera Data Science Workbench to create repeatable, accurate, and transferable statistical research. ‘We have seen a decreased time in developing models and better visibility in tracking progress and results,’ says Simon Sandford-Taylor, Chief Technology Officer.  ‘We think that Cloudera Data Science Workbench has the potential to accelerate our release calendar and better share best practices’.”

Read more at PR Newswire.

Photo credit: Cloudera

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