Best Practices for Using Predictive Analytics to Extract Value from Hadoop

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