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Using R to unlock the value of big data : big data analytics with Oracle R Enterprise and Oracle R Connector for Hadoop /
The Oracle Press Guide to Big Data Analytics using R Cowritten by members of the Big Data team at Oracle, this Oracle Press book focuses on analyzing data with R while making it scalable using Oracle's R technologies. Using R to Unlock the Value of Big Data provides an introduction to open sour...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
McGraw Hill Education,
©2013.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright Page
- Contents
- About the Authors
- Using R to Unlock the Value of Big Data: Big Data Analytics with Oracle R Enterprise and Oracle R Connector for Hadoop
- Introduction to Open Source R
- CRAN, Packages, and Task Views
- GUIs and IDEs
- Traditional R and Database Interaction vs. Oracle R Enterprise
- Oracle's Strategic R Offerings
- Oracle R Enterprise
- Oracle R Distribution
- ROracle
- Oracle R Connector for Hadoop
- Oracle R Enterprise: Next-Level View
- Oracle R Enterprise Installation and Configuration
- Using Oracle R Enterprise
- Transparency Layer
- Embedded R Execution
- Predictive Analytics
- Oracle R Connector for Hadoop
- Invoking MapReduce Jobs
- Testing ORCH R Scripts Without the Hadoop Cluster
- Interacting with HDFS from R
- HDFS Metadata Discovery
- Working with Hadoop Using the ORCH Framework
- ORCH Predictive Analytics on Hadoop
- ORCHhive
- ORCH and ORE Interaction
- Summary
- Conclusion
- Exercises
- Useful Links