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Duration 21 hours
Course Outline
Introduction to Big Data Programming with R (pbdR)
- Configuring your environment to work with pbdR
- Understanding the scope and available tools in pbdR
- Identifying packages frequently paired with pbdR for Big Data tasks
Message Passing Interface (MPI)
- Implementing pbdR MPI 5
- Executing parallel processing
- Managing point-to-point communication
- Transmitting Matrices
- Performing Matrix Summation
- Handling collective communication
- Summing Matrices using Reduce
- Applying Scatter and Gather operations
- Other MPI communication techniques
Distributed Matrices
- Generating a distributed diagonal matrix
- Computing the SVD of a distributed matrix
- Constructing a distributed matrix in parallel
Statistical Applications
- Monte Carlo Integration
- Ingesting Datasets
- Loading data across all processes
- Broadcasting data from a single process
- Reading partitioned data
- Conducting Distributed Regression
- Performing Distributed Bootstrap
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!.