STRATA+HADOOP WORLD SAN JOSE, Calif., March 14, 2017 (GLOBE NEWSWIRE) -- 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.”
Cloudera Data Science Workbench’s benefits include:
For data scientists -
For IT professionals -
As open data science expands beyond the extensive Python and R ecosystems to include deep learning frameworks like Tensorflow, Microsoft Cognitive Toolkit, MXnet, BigDL, and more, data science teams are looking for ways to bring these tools to their data, which is increasingly stored in Hadoop environments. Cloudera Data Science Workbench delivers a safe and secure environment to combine the latest open source innovations with the unified platform Cloudera customers trust.
“By providing ready access to data, Cloudera Data Science Workbench decreases time to value of AI applications delivered with the DataRobot automated machine learning platform,” said Jeremy Achin, DataRobot CEO and co-founder. “DataRobot is fully integrated which allows Cloudera users to increase business value from the world's best algorithms and data science techniques through an easy to use interface.”
“Our customers’ IT groups often struggle to onboard data scientists to shared environments because their needs are so diverse, especially where open source tools are involved. The result is usually duplication, analytic silos, and limited security and governance. Meanwhile, data scientists are constantly looking to scale their work to larger datasets and more powerful compute platforms,” continued Zedlewski. “With Data Science Workbench, Cloudera is helping IT groups and data scientists work together, bringing more users to shared environments in a way that delivers both flexibility and compliance.”
Meet at Strata + Hadoop World San Jose
To learn more about Data Science Workbench and Cloudera’s overall data science and machine learning strategy, visit our booth 809 on the show floor at Strata+Hadoop World San Jose.
To learn about the common problems to look out for when scaling data science on Hadoop, attend Cloudera’s session titled, ‘Making Self-service Data Science a Reality’ with Matt Brandwein (director, Products, Cloudera), Tristan Zajonc (senior engineering manager, Cloudera) from 1:50pm–2:30pm on Thursday, March 16, 2017 in 210 A/E at Strata+Hadoop World San Jose.
Cloudera delivers the modern platform for machine learning and advanced analytics built on the latest open source technologies. The world’s leading organizations trust Cloudera to help solve their most challenging business problems with Cloudera Enterprise, the fastest, easiest and most secure data platform available for the modern world. Our customers efficiently capture, store, process and analyze vast amounts of data, empowering them to use advanced analytics and machine learning to drive business decisions quickly, flexibly and at lower cost than has been possible before. To ensure our customers are successful, we offer comprehensive support, training and professional services. Learn more at cloudera.com.
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