Big data analytics with R / Simon Walkowiak.
Tipo de material:
- 9781786466457
- 23 005.75 W186b
Tipo de ítem | Biblioteca actual | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
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Biblioteca Central CIENCIAS PURAS | 005.75 W186b (Navegar estantería(Abre debajo)) | 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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