更新时间：2021-07-14 10:43:02
封面
版权页
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
eBooks discount offers and more
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 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
Chapter 2. Introduction to R Programming Language and Statistical Environment
Learning R
Revisiting R basics
Applied data science with R
Chapter 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
Chapter 4. Hadoop and MapReduce Framework for R
Hadoop architecture
A single-node Hadoop in Cloud
HDInsight - a multi-node Hadoop cluster on Azure
Chapter 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
Chapter 6. R with Non-Relational (NoSQL) Databases
Introduction to NoSQL databases
MongoDB with R
HBase with R
Chapter 7. Faster than Hadoop - Spark with R
Spark for Big Data analytics
Spark with R on a multi-node HDInsight cluster
Chapter 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
Chapter 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
