Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data

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.

• 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.

With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. 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.