In this whitepaper, analysts and data scientists will learn how a code-free, workflow language makes the process of creating and executing predictive analytics on Hadoop incredibly fast and easy. Thereby dramatically reducing the risk of misalignment of Hadoop-based analytics initiatives and greatly improve the probability of delivering significant value from their Big Data projects.
Visually build and deploy predictive analytics workflows, or processes, in a matter of minutes without needing to write a single line of code
Automatically translate and execute data analytic models, without needing to become a Hadoop specialist to extract and operationalize analytic insights
Easily leverage your favorite custom-built R and Python or SparkR, PySpark, Pig and HiveQL scripts within your predictive analytics workflows