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