Programming with Big Data in R Training Course

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Course Language

This course is delivered in Polish or English.

Course Code

bigdatar

Duration Duration

21 hours (usually 3 days including breaks)

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

Guaranteed to run even with a single delegate!
Public Classroom Public Classroom
Participants from multiple organisations. Topics usually cannot be customised
From 6791PLN
(72)
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.
From 6791PLN
Request quote
Private Remote Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet
From 20430PLN
Request quote

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 Classroom Private Remote
1 6791PLN 6791PLN 20430PLN
2 4471PLN 4471PLN 11290PLN
3 3697PLN 3697PLN 8243PLN
4 3310PLN 3310PLN 6720PLN
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Upcoming Courses

VenueCourse DateCourse Price [Remote/Classroom]
Kraków, ul. Rzemieślnicza 1Tue, 2016-08-16 09:00PLN / PLN
Szczecin, ul. Małopolska 23Wed, 2016-08-17 09:006720PLN / 3402PLN
Poznan, Garbary 100/63Mon, 2016-08-22 09:006720PLN / 3343PLN
Bydgoszcz, ul. Dworcowa 94Mon, 2016-08-22 09:006720PLN / 3393PLN
Olsztyn, ul. Kajki 3/1Tue, 2016-08-23 09:006720PLN / 3402PLN

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