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Course Outline

Introduction to Programming Big Data with R (bpdR)

  • Configuring your environment to utilise pbdR
  • Overview and tools available in pbdR
  • Commonly used packages for Big Data alongside pbdR

Message Passing Interface (MPI)

  • Utilising pbdR MPI 5
  • Parallel processing techniques
  • Point-to-point communication
  • Handling Send Matrices
  • Summing Matrices
  • Collective communication methods
  • Summing Matrices with Reduce
  • Scatter / Gather operations
  • Additional MPI communication strategies

Distributed Matrices

  • Creating a distributed diagonal matrix
  • Conducting SVD on a distributed matrix
  • Constructing a distributed matrix in parallel

Statistics Applications

  • Monte Carlo Integration
  • Reading Datasets
  • Reading data on all processes
  • Broadcasting from a single process
  • Reading partitioned data
  • Distributed Regression
  • Distributed Bootstrap
 21 Hours

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Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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Price per private group, online live training, starting from 3900 € + VAT*

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