Blog Archives

Oracle R Connector for Hadoop 2.1.0 released

June 17, 2013
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(This article was first published on Oracle R Enterprise, and kindly contributed to R-bloggers) Oracle R Connector for Hadoop (ORCH), a collection of R packages that enables Big Data analytics using HDFS, Hive, and Oracle Database from a local R environment, continues to make advancements. ORCH 2.1.0 is now available, providing a flexible framework while remarkably improving performance and...

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Oracle R Distribution for R 2.15.3 is released

June 5, 2013
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Oracle R Distribution for R 2.15.3 is released

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...

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HOWTO: X11 Forwarding for Oracle R Enterprise

May 25, 2013
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HOWTO: X11 Forwarding for Oracle R Enterprise

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Oracle R Distribution for R 2.15.2 available on public-yum

May 6, 2013
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Oracle R Distribution for R 2.15.2 available on public-yum

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 number of bug fixes.  Detailed updates...

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Oracle R Enterprise 1.3 released

December 26, 2012
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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 for time series analysis and forecasting. Oracle...

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ROracle support for TimesTen In-Memory Database

September 27, 2012
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Today's guest post comes from Jason Feldhaus, a Consulting Member of Technical Staff in the TimesTen Database organization at Oracle.  He shares with us a sample session using ROracle with the TimesTen In-Memory database.  Beginning in ve...

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Video: Analyzing Big Data using Oracle R Enterprise

September 23, 2012
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Learn how Oracle R Enterprise is used to generate new insight and new value to business, answering not only what happened, but why ...

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

August 17, 2012
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Experience with Oracle R Enterprise in the Oracle micro-processor tools environment

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Data Parallelism Using Oracle R Enterprise

August 2, 2012
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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 processing time. ORE supports parallelism through the transparency layer,...

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Introduction to Oracle R Connector for Hadoop

April 23, 2012
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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 jobs. Conceptutally, MapReduce is similar...

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