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On-Demand Webinar: Best Practices for Applying Advanced Analytics i...

According to a Big Data analytics study from research firm IDC, 99% of enterprises surveyed use or plan to use Hadoop. But 55% of Big Data projects fail because Hadoop is challenging.

View this webinar and learn how to successfully implement your own advanced analytics in a big data Hadoop environment by following best practices and avoiding common pitfalls.
Some of the best practices discussed during this webinar include:

  1. Know when to implement your analytics in-Hadoop and when to do data extracts
  2. Take advantage of the variety of tools available from the Hadoop ecosystem, including Hive, Impala, Pig, and Mahout
  3. Deploy your big data analytics in production with managed workflows

See a demo of how RapidMiner enables you to implement these best practices and solve complex big data analytics use cases in an environment that provides increased productivity, ease of use, and smooth collaboration for IT and business users.


When you're ready to learn more about how to deploy powerful and secure predictive analytics inside Hadoop or see a demo, please contact us


The RapidMiner Team

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