Walkowiak, Simon.

Big data analytics with R / Simon Walkowiak. - Birmingham: Packt Publishing Ltd., 2016. - 490 páginas : ilustraciones. - Open source. .

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.--

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.

9781786466457


Datos en sistemas informáticos--Big Data
Procesamiento de datos --Big Data
Bases de datos centralizadas: informática.--R

005.75 / W186b