Recent Posts by Sherry LaMonica

Oracle just released the latest update to Oracle R Enterprise, version 1.1. This release includes the Oracle R Distribution (based on open source R, version 2.13.2), an improved server installation, and much more.  The key new features include: Extended Server Support: New support for Windows 32 and 64-bit server components, as well as continuing support for Linux 64-bit server components Improved Installation: Linux 64-bit server installation now provides robust status...

Oracle has released an update to the Oracle R Distribution, an Oracle-supported distribution of open source R. Oracle R Distribution 2-13.2 now contains the ability to dynamically link the following libraries on both Windows and Linux: The Intel Math Kernel Library (MKL) on Intel chips The AMD Core Math Library (ACML) on AMD chips To take advantage of the performance enhancements provided by Intel MKL or AMD ACML in Oracle R Distribution, simply add the MKL or ACML shared...

This Oracle R Enterprise (ORE) tutorial, on embedded R execution, is the third in a series to help users get started using ORE. See these links for the first tutorial on the transparency layer and second tutorial on the statistics engine. Oracle R Enterprise is a component in the Oracle Advanced Analytics Option of Oracle Database Enterprise Edition. Embedded R Execution refers to the ability to execute an R script at the database server, which provides several...

Oracle provides the Oracle R Distribution, an Oracle-supported distribution of open source R. Support for Oracle R Distribution is provided to customers of the Oracle Advanced Analytics option and the Oracle Big Data Appliance. The Oracle R Distribution facilitates enterprise acceptance of R, since the lack of a major corporate sponsor has made some companies concerned about fully adopting R. With the Oracle R Distribution, Oracle plans tocontribute bug fixes and relevant...

The Oracle R Advanced Analytics team is happy to announce the release of the ROracle 1.1-1 package on the Comprehensive R Archive Network (CRAN).  We’ve rebuilt ROracle from the ground up, working hard to fix bugs and add optimizations. The new version introduces key improvements for interfacing with Oracle Database from open-source R. Specific improvements in ROracle 1.1-1 include: Lossless database reads: consistent accuracy for database read results Performance improvements: ...

This Oracle R Enterprise (ORE) statistics engine tutorial is the second in a series to help users get started using ORE. (See the first tutorial on the ORE transparency layer here). Oracle R Enterprise is a component in the Oracle Advanced Analytics Option of Oracle Database Enterprise Edition. The ORE statistics engine is a database library consisting of native database statistical functions and new functionality added specifically for ORE. ORE intercepts R functions and...

This Oracle R Enterprise (ORE) transparency layer tutorial is the first in a series to help users get started using ORE. Oracle R Enterprise  is a component in the Oracle Advanced Analytics Option of Oracle Database Enterprise Edition. Oracle R Enterprise (ORE) implements a transparency layer on top of the R engine that allows R computations to be executed in Oracle Database from the R environment. A mapping is established between a special R object called an ORE frame and a...

Following last week's press release, we wanted to post a series of  demonstrations using Oracle R Enterprise.  Stay tuned to learn more about Oracle R Enterprise (ORE), a component in the Oracle Advanced Analytics Option of Oracle Database Enterprise Edition. The R programming language and environment was originally designed to hold data in memory, providing fast and efficient calculations by notrequiring the user's program to access information stored on the hard drive....

Analyzing huge data sets presents a challenging opportunity for IT decision makers, driven by the balance between the maintenance and support of existing IT infrastructure with the need to analyze rapidly growing data stores. In many cases, processing this data requires a fresh approach because traditional techniques fail when applied to massive data sets. To extract immediate value from big data, we desire tools that efficiently access, organize, analyze and maintain a...