Best practices to extract value from Hadoop with predictive analytics
Turning big data into tangible business value can be a struggle even for highly skilled data scientists. Zoltan Prekopcsak outlines the best practices that make life easier, simplify the process, and implement results faster.
| Talk Title | Best practices to extract value from Hadoop with predictive analytics |
| Speakers | Zoltan Prekopcsak (RapidMiner) |
| Conference | Strata + Hadoop World |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | June 1-3, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Turning big data into tangible business value can be difficult even for highly skilled data scientists. Many data scientists and analysts do not 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. Zoltan Prekopcsak outlines the best practices that make life easier, simplify the process, and implement results faster, helping you organize approaches and select the right approach for the task. Topics include: This session is sponsored by RapidMiner.
