Big Data Analytics with R and Hadoop
| Author | : | |
| Rating | : | 4.31 (551 Votes) |
| Asin | : | 178216328X |
| Format Type | : | paperback |
| Number of Pages | : | 238 Pages |
| Publish Date | : | 2016-03-05 |
| Language | : | English |
DESCRIPTION:
Two Stars OK. Dimitri Shvorob said Doesn't cut it. Here I am, a beginner in need of guidance and happy to reward a helpful getting-started book with praise. Fast-forward one day - it's not gonna happen. Having installed Hadoop and almost installed RHadoop (oh boy, it is going to take a while before this technology becomes as user-friendly as any Microsoft product), I have found the book's directions regarding installation in-your-face inadequate - and once I started relying on online references (such as Michael Noll's Hadoop-on-Ubuntu article and resources linked from R. "worst excuse for a book I have ever tried to read" according to Brian Boatright. I never write reviews, but the several hours I wasted trying to decipher this POS impels me to alert others to avoid this time sink. I have never seen in print such poorly crafted prose even on Wikipedia. The contents here we're obviously copy-pasted from various web sites and redundantly at that, by someone or some group of folks who have little fluency in English nor Hadoop, R, Big Data Seriously I could rate a -1
It would be helpful if readers have basic knowledge of R.. OverviewWrite Hadoop MapReduce within RLearn data analytics with R and the Hadoop platformHandle HDFS data within RUnderstand Hadoop streaming with REncode and enrich datasets into RIn DetailBig data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Big Data Analytics with R and Hadoop will also give you an easy understanding of the R and Hadoop connectors RHIPE, RHadoop, and Hadoop streaming.What you will learn from this bookIntegrate R and Hadoop via RHIPE, RHadoop, and Hadoop streamingDevelop and run a MapReduce application that runs with R and HadoopHandle HDFS data from within R using RHIPE and RHadoopRun Hadoop streaming and MapReduce with RImport and export from various data sources to RApproachBig Data Analytics with R and Hadoop is a tutorial style book
This book provides a fresh, scope-oriented approach to the Mahout world for beginners as well as advanced users. He is highly interested in the development of open source technologies.Vignesh has also reviewed the Apache Mahout Cookbook for Packt Publishing. To get the ML in action, he implemented several analytical apps in collabor
He is highly interested in the development of open source technologies.Vignesh has also reviewed the Apache Mahout Cookbook for Packt Publishing. He is an experienced ML Data engineer. This book provides a fresh, scope-oriented approach to the Mahout world for beginners as well as advanced users. He also contributes to the R community by developing the RGoogleAnalytics' R library as an open source code Google project and writes articles on Data-driven technologies.Vignesh is not limited to a single domain; he has also worked for developing various interactive apps via various Google APIs, such as Google Analytics API, Realtime API, Google Prediction API, Google Chart API, and Translate API with the Java and PHP platforms. About the AuthorVignesh PrajapatiVignesh Prajapati, from India, is a Big Data enthusiast, a Pingax (pingax) consultant and a software professional at Enjay. He is experien