DS Studio, a machine-learning platform for data scientists and developers, is tightly integrated with Hadoop and underpinned by Spark as its computational backbone. It allows the user to describe complete data science workflows using a code-free graphical user interface (accessible through a browser). Such flows (called "experiments") can be executed within the cluster, using distributed machine-learning algorithms under the hood. Experiment results can be visualized, reviewed and exported. DS Studio supports most of the common data sources including relational and non-relational databases, as well as HDFS.Cast: CodiLimeTags: Spark, machine learning, data science, big data and Hadoop
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