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Course Outline
Introduction to Programming Big Data with R (bpdR)
- Configuring your environment for pbdR
- Overview of pbdR's capabilities and available tools
- Commonly used packages for Big Data alongside pbdR
Message Passing Interface (MPI)
- Working with pbdR MPI 5
- Parallel processing techniques
- Point-to-point communication
- Sending matrices
- Summing matrices
- Collective communication methods
- Summing matrices using Reduce
- Scatter and Gather operations
- Additional MPI communication patterns
Distributed Matrices
- Constructing a distributed diagonal matrix
- Performing Singular Value Decomposition (SVD) on a distributed matrix
- Building a distributed matrix in parallel
Statistics Applications
- Monte Carlo Integration
- Loading datasets
- Reading data across all processes
- Broadcasting from a single process
- Accessing partitioned data
- Distributed Regression analysis
- Distributed Bootstrap methods
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!.
