Benefits of Cloudera Data Science Workbench: Self-service data science for the enterprise
Bringing Data Science to Hadoop
● Easily access HDFS data
● Use Hadoop engines such as Apache Spark 2 and Apache Impala
● Break down analytic silos and drive more value from your data platform
A Self-Service Collaborative Platform
● Use Python, R, and Scala from your web browser
● Customize and reuse analytic project environments
● Work in teams and easily share your analysis and results
● Enable agency “citizen data scientists” to work singly or collaboratively on enterprise data
Positive Business Outcomes
● Self-service analytics for enterprise business teams
● Ensures security and compliance by default, with full Hadoop security features
● Deploys on-premises or in the cloud
● Allows end users to select their analytic library of choice, including R, Spark, Scala, and Python
● Keeps all analysts’ work isolated from others, unless they add them as team members
● Native Hadoop and Spark support - Direct integration with Hadoop and Spark makes it easy for end users to interact with existing clusters, without having to bother IT or compromise on security. No setup required; they can just start coding.