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Big Data Analytics with R
最新章節：
Summary
ThisbookisintendedforDataAnalysts,Scientists,DataEngineers,Statisticians,Researchers,whowanttointegrateRwiththeircurrentorfutureBigDataworkflows.Itisassumedthatreadershavesomeexperienceindataanalysisandunderstandingofdatamanagementandalgorithmicprocessingoflargequantitiesofdata,howevertheymaylackspecificskillsrelatedtoR.
目錄(62章)
倒序
- 封面
- 版權頁
- 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
- Summary
- 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
- Summary
- Chapter 4. Hadoop and MapReduce Framework for R
- Hadoop architecture
- A single-node Hadoop in Cloud
- HDInsight - a multi-node Hadoop cluster on Azure
- Summary
- 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
- Summary
- Chapter 6. R with Non-Relational (NoSQL) Databases
- Introduction to NoSQL databases
- MongoDB with R
- HBase with R
- Summary
- Chapter 7. Faster than Hadoop - Spark with R
- Spark for Big Data analytics
- Spark with R on a multi-node HDInsight cluster
- Summary
- 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
- Summary
- 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
- Summary 更新時間：2021-07-14 10:43:02
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