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Oracle R Enterprise 1.4.1 Released

Mark Hornick
Senior Director, Data Science and Machine Learning
Oracle R Enterprise, a component of the Oracle Advanced Analytics option to Oracle Database, makes the open source R statistical programming language and environment ready for the enterprise and big data. Designed for problems involving large data volumes, Oracle R Enterprise integrates R with Oracle Database.
R users can execute R commands and scripts for statistical and graphical analyses on data stored in Oracle Database. R users can develop, refine, and deploy R scripts that leverage the parallelism and scalability of the database to automate data analysis. Data analysts and data scientists can use open source R packages and develop and operationalize R scripts for analytical applications in one step – from R or SQL.
With the new release of Oracle R Enterprise 1.4.1, Oracle enables support for Multitenant Container Database (CDB) in Oracle Database 12c and pluggable databases (PDB). With support for CDB / PDB, enterprises can take advantage of new ways of organizing their data: easily taking entire databases offline and easily bringing them back online when needed. Enterprises, such as pharmaceutical companies, that collect vast quantities of data across multiple experiments for individual projects immediately benefit from this capability.
This point release also includes the following enhancements:
• Certified for use with R 3.1.1 and Oracle R Distribution 3.1.1.
• Simplified and enhanced script for install, upgrade, uninstall of ORE Server and the creation and configuratioon of ORE users.
• New supporting packages: arules and statmod.
• ore.glm accepts offset terms in model formula and can fit negative binomial and tweedie families of GLM.
• ore.sync argument, query, creates ore.frame object from SELECT statement without creating view. This allows users to effectively access a view of the data without the CREATE VIEW privilege.
• Global option for serialization, ore.envAsEmptyenv, specifies whether referenced environment objects in an R object, e.g., in an lm model, should be replaced with an empty environment during serialization to the ORE R datastore. This is used by (i) ore.push, which for a list object accepts envAsEmptyenv as an optional argument, (ii) ore.save, which has envAsEmptyenv as a named argument, and (iii) ore.doEval and the other embedded R execution functions, which accept ore.envAsEmptyenv as a control argument.

Oracle R Enterprise 1.4.1
can be downloaded from OTN here.

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