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Turning big data into tangible business value can be difficult even for highly skilled data scientists. Many data scientists and analysts don’t have a deep understanding of Hadoop, so they struggle with solving their analytics problems in a distributed environment. Distributed algorithms are not always easy and intuitive, and there are many different approaches.

Watch this webinar to learn best practices for extracting value from Hadoop. You’ll see:

  • The pros and cons of different approaches to extracting predictive analytics value from Hadoop
  • Specific use cases that are good matches to each approach
  • How a visual predictive analytics platform makes creating and executing predictive analytics in Hadoop a fast and simple process