Unlocking data science in the enterprise - with Oracle and Cloudera

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Today, leading organizations struggle to make their data scientists productive in their modern data platforms. Data scientists find it difficult to use their existing open source languages (e.g. Python, R) and libraries with Hadoop, especially when the clusters are secured with Kerberos. At the same time, IT doesn't want to give special access to these users, who require very diverse and specific environment configurations to run their experiments. As a result, most data science teams work away from the big data cluster, often on their laptops or in other data silos. The negative business impacts are a lack of insight and agility for the most advanced users, and the security, governance, and cost issues that arise from data silos.

The Cloudera Data Science Workbench enables collaborative, customizable, self-service access by data scientists to secure big data environments via Python, R, and Scala. It can be installed on any existing Oracle Big Data cluster. Data scientists get ready-access to all data in a fully governed manner, can leverage the newest machine learning and deep learning frameworks as well as deliver value much quicker; all in a secure environment.

Date: 13 December 2017
Time: 10:00 - 11:00 CET