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Course Outline
Introduction to Programming Big Data with R (bpdR)
- Configuring your environment for pbdR
- Overview and tools available in pbdR
- Commonly used packages with Big Data alongside pbdR
Message Passing Interface (MPI)
- Utilizing pbdR MPI 5
- Parallel processing techniques
- Point-to-point communication
- Send Matrices
- Summing Matrices
- Collective communication
- Summing Matrices with Reduce
- Scatter / Gather
- Additional 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
21 Hours
Testimonials (2)
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
