TY  - BOOK
AU  - Walkowiak,Simon
TI  - Big data analytics with R
T2  - Open source
SN  - 9781786466457
U1  - 005.75 23
PY  - 2016///
CY  - Birmingham: 
PB  - Packt Publishing Ltd., 
KW  - Datos en sistemas informáticos
KW  - Big Data
KW  - Procesamiento de datos
KW  - Bases de datos centralizadas: informática
KW  - R
N1  - Contiene: índice analítico.; Chapter 1: The era of Big Data.-- Chapter 2: Introduction to R programming languaje and statiscal.-- Chapter 3: Unleashing the power of R from within.-- Chapter 4:  Hadoop and MapReduce framework for R.-- Cahpter 5:. R with relational database management systems(RDBMSs).-- Chapter 6: R with Non-Relational (NoSQL) Databases.-- Chapter 7: Faster than Hadoop - Spark with R.-- Chapter 8: Machine learning methods for big data in R.-- Chapter 9: The future of R - Big, Fast and smart data.--
N2  - 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
ER  -