Explore basic functionality of Apache Hadoop and of RHadoop
Experiment how to achieve performance of modern supercomputing
Experiment regression, clustering and classification with RHadoop
Investigate basic functionality of Bash terminal window
Knowledge about statistical learning to instances of data provided by edcators
How to do big data management with RHadoop on real supercomputer provided by University of Ljubljana
This course will give you access to a virtual environment with installations of Hadoop, R and Rstudio to get hands-on experience with big data management. Several unique examples from statistical learning and related R code for map-reduce operations will be available for testing and learning.
Those with basic knowledge in statistical learning and R will better understand the methods behind and how to run them in parallel using map-reduce functions and Hadoop data storage. At the end of the course you will get access to RHadoop on a supercomputer at University of Ljubljana.
Welcome to BIG DATA
Working with Hadoop
First steps in R and RHadoop
Statistical learning with RHadoop: clustering
Statistical learning with RHadoop: regression and classification
This course is designed for people interested in data science, computational statistics and machine learning and have basic experiences with them. It will be also useful for advanced undergraduate students and first year PhD students in data analysis, statistics or bioinformatics, who wish to understand how to manage big data with Hadoop using R programming language.
We expect that the learners will also have basic experiences with linux and bash and working experiences with R and matrix operations. They should be also capable to download and run virtual machine.