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Status:
Available4.6
15 reviewsBig 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.
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