Articles by Sherry Lamonica

Oracle R Distribution for R 2.15.3 is released

June 5, 2013 | Sherry Lamonica

We are pleased to announce that Oracle R Distribution (ORD) for R 2.15.3 is available for download today. This update consists of mostly minor bug fixes, and is the final release of the R 2.x series. Oracle recommends using yum to install ORD from our public yum server.  To install ORD 2.15.3, ...
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HOWTO: X11 Forwarding for Oracle R Enterprise

May 25, 2013 | Sherry Lamonica

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Oracle R Distribution for R 2.15.2 available on public-yum

May 6, 2013 | Sherry Lamonica

Oracle R Distribution (ORD) for R 2.15.2 on Linux is now available for download from Oracle's public-yum repository.  R 2.15.2 is a maintenance update that includes improved performance and reduced memory usage for some commonly-used functions, increased memory available for data on 64-bit systems, enhanced localization for Polish language users, and a ...
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Oracle R Enterprise 1.3 released

December 26, 2012 | Sherry Lamonica

We're pleased to announce the latest release of Oracle R Enterprise, now available for download. Oracle R Enterprise 1.3 features new predictive analytics interfaces for in-database model building and scoring, support for in-database sampling and partitioning techniques, and transparent support for Oracle DATE and TIMESTAMP data types to facilitate data preparation ... [Read more...]

Experience with Oracle R Enterprise in the Oracle micro-processor tools environment

August 17, 2012 | Sherry Lamonica

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Data Parallelism Using Oracle R Enterprise

August 2, 2012 | Sherry Lamonica

Modern computer processors are adequately optimized for many statistical calculations, but large data operations may require hours or days to return a result.  Oracle R Enterprise (ORE), a set of R packages designed to process large data computations in Oracle Database, can run many R operations in parallel, significantly reducing ... [Read more...]

Introduction to Oracle R Connector for Hadoop

April 23, 2012 | Sherry Lamonica

MapReduce, the heart of Hadoop, is a programming framework that enables massive scalability across servers using data stored in the Hadoop Distributed File System (HDFS). The Oracle R Connector for Hadoop (ORCH) provides access to a Hadoop cluster from R, enabling manipulation of HDFS-resident data and the execution of MapReduce ... [Read more...]

Introduction to ORE Embedded R Script Execution

April 2, 2012 | Sherry Lamonica

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 ...
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Oracle R Distribution and Open Source R

March 13, 2012 | Sherry Lamonica

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 Distribu... [Read more...]

ROracle 1.1-1 Delivers Performance Improvements

February 29, 2012 | Sherry Lamonica

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 ... [Read more...]

Big-Data PCA: 50 years of stock data

June 17, 2011 | Sherry Lamonica

In this post, Revolution engineer Sherry LaMonica shows us how to use the RevoScaleR big-data package in Revolution R Enterprise to do principal components analysis on 50 years of stock market data -- ed. Principal components analysis, or PCA, seeks to find a set of orthogonal axes such that the first ... [Read more...]

Analyzing big data with Revolution R Enterprise

March 10, 2011 | Sherry Lamonica

This post from Sherry LaMonica is the first in a series from members of the Revolution Analytics Engineering team — ed. Do you know about the big data capabilities in the RevoScaleR package, included with every Revolution R Enterprise installation? RevoScaleR provides a framework for fast and efficient multi-core processing of ... [Read more...]

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