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Big data analytics with R / Simon Walkowiak.

Por: Walkowiak, SimonTipo de material: TextoTextoSeries Open sourceEditor: Birmingham: Packt Publishing Ltd., 2016Descripción: 490 páginas : ilustracionesISBN: 9781786466457Tema(s): Datos en sistemas informáticos -- Big Data | Procesamiento de datos -- Big Data | Bases de datos centralizadas: informática. -- RClasificación CDD: 005.75
Contenidos parciales:
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.--
Resumen: 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.
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Libros Libros Biblioteca Central
CIENCIAS PURAS 		005.75 W186b (Navegar estantería) Ej.1 Disponible B0578

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.

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