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Hadoop offers great promise to organizations looking to gain a competitive advantage from data science . Hadoop lets organizations collect a massive amount of data that can later be used to extract insights of immense business value for use cases that include fraud detection, sentiment analysis, risk assessment, predictive maintenance, churn analysis, user segmentation and many more. But deploying Hadoop can be extraordinarily complex and time consuming, making it difficult to gain the insights.

Key Takeaways:

  • 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