Big Data Analytics with R > PACKT 원서리스트

1: The Era of Big Data
Big Data The monster re-defined
Big Data toolbox - dealing with the giant
R The unsung Big Data hero
Summary

2: Introduction to R Programming Language and Statistical Environment
Learning R
Revisiting R basics
Applied data science with R
Summary

3: Unleashing the Power of R from Within
Traditional limitations of R
To the memory limits and beyond
Parallel R
Boosting R performance with the data.table package and other tools
Summary

4: Hadoop and MapReduce Framework for R
Hadoop architecture
A single-node Hadoop in Cloud
HDInsight - a multi-node Hadoop cluster on Azure
Summary

5: R with Relational Database Management Systems (RDBMSs)
Relational Database Management Systems (RDBMSs)
SQLite with R
MariaDB with R on a Amazon EC2 instance
PostgreSQL with R on Amazon RDS
Summary

6: R with Non-Relational (NoSQL) Databases
Introduction to NoSQL databases
MongoDB with R
HBase with R
Summary

7: Faster than Hadoop - Spark with R
Spark for Big Data analytics
Spark with R on a multi-node HDInsight cluster
Summary

8: Machine Learning Methods for Big Data in R
What is machine learning?
GLM example with Spark and R on the HDInsight cluster
Naive Bayes with H2O on Hadoop with R
Neural Networks with H2O on Hadoop with R
Summary

9: The Future of R - Big, Fast, and Smart Data
The current state of Big Data analytics with R
The future of R
Where to go next
Summary