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KDnuggets Home » News » 2015 » Aug » Webcasts » Rapidminer Webinar: Taming Hadoop – Extracting Value, Aug 20 ( 15:n27 )

Rapidminer Webinar: Taming Hadoop – Extracting Value, Aug 20


Join Dr. Ingo Mierswa, RapidMiner CTO and leading EMA Analysts for a discussion on how to close the loop between predictive insights and action using big data analytics.



Upcoming Webinar

Taming the Beast: Extracting Value from Hadoop

Thursday, August 20, 2015 8AM PST / 11AM EST

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Speakers



Dr. Ingo Mierswa, Founder & CTO, RapidMiner


John Myers, Managing Research Director, EMA


Lyndsay Wise, Research Director, EMA

 

Taming the Beast:
Extracting Value from Hadoop

Register here for a 60-minute webinar with Enterprise Management Associates & RapidMiner.

Thursday, August 20 at 8am PT / 11am ET

 
 

About this Webinar

After deploying a data lake, organizations often reflect "I bet the farm on Hadoop, now what?" They have broken down the silos, mashed up structured and multi-structured data, and set up the Hadoop clusters. However, the investment has yet to pay off. The CIO wants answers. The CMO wants actionable information. The CEO wants results. Organizations need information on how to deliver on the promise of big data analytics.
  • What are the pitfalls to avoid?
  • How are other organizations succeeding?
  • What are best practices for implementing advanced/modern analytics?

 

 
Join Dr. Ingo Mierswa, CTO at RapidMiner; John Myers, Managing Research Director at leading IT analyst firm Enterprise Management Associates (EMA); and Lyndsay Wise, Research Director at EMA, for a discussion on how to close the loop between predictive insights and action using big data analytics.

Attendees will gain insight on

  • How to give yourself a Hadoop reality check for those stuck in the hype of the data lake
  • Empowering analysts to anticipate the opportunities and risks of big data analytics
  • Guidance on monetizing insights buried in your multi-structured data
  • Building and deploying predictive models spanning cloud and on-premise environments

 
Who Should Attend

Members of the "Collaborative Team," including:
  • Business users
  • Business analysts
  • Data scientists
  • IT professionals

 
We look forward to your participation!

-RapidMiner
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