Recent Posts by Sherry LaMonica

Oracle R Enterprise graphics are returned as raster, or bitmap graphics. Raster images consist of tiny squares of color information referred to as pixels that form points of color to create a complete image. Plots that contain raster images render quickly in R and create small, high-quality exported image files in a wide variety of formats. However, it is a known issue that the rendering of raster images can be problematic whencreating graphics using a Remote...

We're pleased to announce that the Oracle R Distribution 3.0.1 Linux RPMs are now available on Oracle's public yum. R-3.0.1, code-named "Good Sport", is the second release in the R-3.0.x series. This new series in R doesn't announce new features, but indicates that the code base has developed to a new level of maturity. However, there are some significant improvements in the 3.0 series worth mentioning.  R-3.0.0 introduces the use of large vectors in R, and eliminates some...

The most common Oracle R Enterprise configuration is to connect directly to a database schema that contains tables you wish to analyze. However, users may occasionally need to access tables that exist in other schemas. Oracle R Enterprise allows several options when accessing tables from another schema is desired. Database tables and views are currently supported, and these form the basis for our recommendations. Named Schema Access If you have SELECT TABLE or SELECT ANY TABLE pri...

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 adding new analytics based on the ORCH framework.Previous releases enabled users to write MapReduce tasks in the R language and run them in HDFS. The API was then expanded to...

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, first remove the previously installed ORD.  For example, if ORD 2.15.2 is installed, remove it along with it's dependencies: 1. Become root sudo su - 2. Uninstall ORD 2.15.2 RPMs, in...

Oracle R Enterprise enables users to generate R graphs at the database server and return them in a variety of ways: an XML representation using base 64 encoding of the PNG images, in a table with a BLOB column containing the PNG images, and interactively returning the actual image to the R user at the client. This last case allows users to generate images at the database server machine and have the actual PNG image display at the user’s client R engine.To take advantage of...

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 can be found in the NEWS file - see the section 'CHANGES IN R VERSION 2.15.2'.The...

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 R Enterprise further enables transparent access to Oracle...

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 version 1.1-4, ROracle includes support for the Oracle Times Ten In-Memory Database, version 11.2.2. TimesTen is a relational database providing very fast and high throughput through its memory-centric architecture.  TimesTen is designed for low...