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Apache Hadoop 2.0: Hadoop Essentials with the Hortonworks Data Platform -Live Online-Apr 7, 2014

Hortonworks University

Monday, April 7, 2014 from 9:00 AM to 5:00 PM (PDT)

Apache Hadoop 2.0: Hadoop Essentials with the...

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Registration Type Sales End Price Fee Quantity
Standard Ended $675.00 $0.00

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Event Details

This one-day course provides a technical overview of Apache Hadoop for decision makers and business users. Students will obtain a deeper understanding of Hadoop ™ using real world use cases to help provide the understanding of the power of Hadoop. Included in this course are high level overviews of the Hortonworks Data Platform 2.0

 

For the complete course details, please see the Hortonworks Training Website at: http://hortonworks.com/hadoop-training/

 

Note, this class is a live on-line class and requires a system capable of connecting to a WebEx session.

 

Refund/Cancellation Policy:


Customer must provide written notification of course cancellation to Hortonworks University, hwuniversity@hortonworks.com. For course cancellations received no later than 10 business days prior to the course start date, customer may cancel their registration or choose to be rescheduled into a future class at no additional fee. For course cancellations received less than 10 business days prior to the course start date, customer will be charged 100% of the list price for the course. Hortonworks University reserves the right to cancel up to 10 business days prior to the course start date. In the event that the class is cancelled, we will work with you to secure a future course date or refund your fee in full.

Have questions about Apache Hadoop 2.0: Hadoop Essentials with the Hortonworks Data Platform -Live Online-Apr 7, 2014? Contact Hortonworks University

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Organizer

Hortonworks University

Hortonworks University is the expert source for Apache Hadoop training and certification. We offer public and private Hadoop courses for developers and administrators with certification for IT professionals involved in Apache Hadoop projects
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