Programming with Big Data in R Training Course

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Course Code


Duration Duration

21 hours (usually 3 days including breaks)

Requirements Requirements

Overview Overview

Course Outline Course Outline

Introduction to Programming Big Data with R (bpdR)

  • Setting up your environment to use pbdR
  • Scope and tools available in pbdR
  • Packages commonly used with Big Data alongside pbdR

Message Passing Interface (MPI)

  • Using pbdR MPI 5
  • Parallel processing
  • Point-to-point communication
  • Send Matrices
  • Summing Matrices
  • Collective communication
  • Summing Matrices with Reduce
  • Scatter / Gather
  • Other MPI communications

Distributed Matrices

  • Creating a distributed diagonal matrix
  • SVD of a distributed matrix
  • Building a distributed matrix in parallel

Statistics Applications

  • Monte Carlo Integration
  • Reading Datasets
  • Reading on all processes
  • Broadcasting from one process
  • Reading partitioned data
  • Distributed Regression
  • Distributed Bootstrap

Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 4393EUR
Private Classroom Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 5190EUR
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The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom Private Remote
1 4393EUR 5190EUR
2 2497EUR 2870EUR
3 1864EUR 2097EUR
4 1548EUR 1710EUR
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
ZürichTue, 2016-11-29 09:305190EUR / 5840EUR
BaselWed, 2016-11-30 08:003893EUR / 4393EUR
BernWed, 2016-12-28 09:305190EUR / 5840EUR

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