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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
21 Hours
Testimonials (3)
I liked the virtual machine environments because he could easily toggle between the views and help if we were struggling with the material.
Pedro
Course - Apache NiFi for Developers
The hands on guided exercises.
Randy
Course - Apache NiFi for Developers
A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution