Book Image

Big Data Analytics with R

By : Simon Walkowiak
Book Image

Big Data Analytics with R

By: Simon Walkowiak

Overview of this book

Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.
Table of Contents (16 chapters)
Big Data Analytics with R
About the Author
About the Reviewers

Where to go next

After reading this book and going through all its tutorials you should have enough skills to let you perform scalable and distributed analysis of very large datasets using the R language. The usefulness of the material contained in this book hugely depends on other tools your current Big Data processing stack includes. Although we have presented you with a wide array of applications and frameworks which are common ingredients of Big Data workflows, for example Hadoop, Spark, SQL, and NoSQL databases, we appreciate that your personal needs and business requirements may vary.

In order to address your particular data-related problems and accomplish Big Data tasks, which may include a myriad of data analytics platforms, other programming languages, and various statistical methods or machine learning algorithms, you may need to develop a specific skill set and make sure to constantly grow your expertise in this dynamically evolving field. Throughout this book, we have included...