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Using Revolution R Enterprise with Hadoop (TRA109)
Using Revolution R Enterprise with Hadoop (TRA109)
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Address: 101 University Avenue Palo Alto, CA 94301
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Using Revolution R Enterprise with Hadoop Boot Camp Overview

In recent years, the explosion of enterprise data has necessitated a significant uptick in new data infrastructure investments. Apache Hadoop has emerged as a leading solution for companies looking to store and manage large structured and unstructured data sets.

Revolution R Enterprise leverages open source R, the standard platform for modern analytics. Revolution R Enterprise runs in Hadoop. The software transparently distributes work across the nodes and distributed data of Hadoop without complex programming.

The recommended training sequence is designed to introduce new Hadoop users to the R language and bring them up to an advanced level of proficiency in its application to the field of Predictive Analytics.

Trainings offered in Boot Camp

Fundamentals of R Language - 07/14/2014

Topics covered during the training are:

  1. R overview
  2. Data Manipulation in R
  3. Exploratory Data Analysis
  4. Graphics in R
  5. Extending R and additional topics

Introduction to Revolution R Enterprise in Hadoop - 07/15/2014

Topics covered during the training are:

  1. Introduction to R and Hadoop
  2. Data Exploration and Manipulation in Revolution R Enterprise
  3. Advanced Data Analytsis with Revolution R Enterprise.

Modeling in Revolution R Enterprise in Hadoop - 07/16/2014 - 07/17/2014

Advanced modeling techniques in Hadoop using Revolution R Enterprise. Topics covered during the course are:

  1. Introduction to Revolution R Enterprise for Predictive Modeling
  2. Linear Regression Modeling and Evaluation
  3. Generalized Linear Models
  4. Data Mining using Trees and Forests
  5. Unsupervised Models and other Techniques

Maximizing R and Hadoop - 07/18/2014

Advanced use of mapreduce jobs in Hadoop using the RHadoop packages.

Disclaimer:

We have the right to cancel the event for any reason at any time. Revolution Analytics will refund all monies paid for ticket sales in full in the event of a cancellation.  We are not responsible for any travel related expenses incurred by attendees for this event. This includes but not limited to transportation, hotel accommodations or any other travel related expenses secured by the attendee, due to a cancellation on our part.

Cancellation Policy:

  • 30 or more days from the event date: Full refund less 10%
  • 16-29 days from the event date: 50% refund
  • 15 or less days from the event date: No refund

Note:

  • All related transaction fees PayPal and Eventbrite are not refundable
  • Discount offers cannot be combined
  • A student ID Number is not a proof of full time university enrollment to get the student’s discount.  Proof of enrollment in 9 units or more on a current academic registration document will be required to receive the student's discount.

 

 

 

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